Due to the pathogen-specific targeting, neutralization capabilities, and enduring efficacy, neutralizing antibodies (NAs) have received widespread attentions as a critical immunotherapeutic strategy against infectious viruses. However, because of the high variability and complexity of pathogens, rapid determination of neutralization activity of antiviral antibodies remains a challenge. Here, we report a new method, named as out-of-plane polarization imaging based single-particle rotational sensing, for rapid analysis of neutralization activity of antiviral antibody against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Using the spike protein functionalized gold nanorods (AuNRs) and angiotensin-converting enzyme 2 (ACE2) coated gold nanoparticles (AuNPs) as the rotational sensors and chaperone probes, we demonstrated the single-particle rotational sensing strategy for the measurement of rotational diffusion coefficient of the chaperone-bound rotational sensors caused by the specific spike protein-ACE2 interactions. This enables us to measure the neutralizing activity of neutralizing antibody from the analysis of dose-dependent changes in rotational diffusion coefficient (Dr) of the rotational sensors upon the treatment of SARS-CoV-2 antibody. With this technique, we achieved the quantitative determination of neutralization activity of a commercially available SARS-CoV-2 antibody (IC50, 294.1 ng/mL) with satisfying accuracy and anti-interference ability. This simple and robust method holds the potential for rapid and accurate evaluation of neutralization activity against different pathogenic viruses.

This review presents progress made in the ambient analysis of proteins, in particular by desorption electrospray ionization-mass spectrometry (DESI-MS). Related ambient ionization techniques are discussed in comparison to DESI-MS only to illustrate the larger context of protein analysis by ambient ionization mass spectrometry. The review describes early and current approaches for the analysis of undigested proteins, native proteins, tryptic digests, and indirect protein determination through reporter molecules. Applications to mass spectrometry imaging for protein spatial distributions, the identification of posttranslational modifications, determination of binding stoichiometries, and enzymatic transformations are discussed. The analytical capabilities of other ambient ionization techniques such as LESA and nano-DESI currently exceed those of DESI-MS for in situ surface sampling of intact proteins from tissues. This review shows, however, that despite its many limitations, DESI-MS is making valuable contributions to protein analysis. The challenges in sensitivity, spatial resolution, and mass range are surmountable obstacles and further development and improvements to DESI-MS is justified.

The use of a ternary mobile-phase system comprising ammonium sulphate, sodium chloride, and phosphate buffer was explored to tune retention and enhance selectivity in hydrophobic interaction chromatography. The accuracy of the linear solvent-strength model to predict protein retention with the ternary mobile-phase system based on isocratic scouting runs is limited, as the extrapolated retention factor at aqueous buffer conditions (k0) cannot be reliably established. The Jandera retention model utilizing a salt concentration averaged retention factor (k¯0) in aqueous buffer for ternary systems overcomes this bottleneck. Gradient retention factors were derived based on isocratic scouting runs after numerical integration of the isocratic Jandera model, leading to retention-time prediction errors below 11 % for linear gradients. Furthermore, an analytical expression was formulated to predict HIC retention for both linear and segmented linear gradients, considering the linear solvent-strength (LSS) model within ternary salt systems, relying on a fixed k0. The approach involved conducting two gradient scouting runs for each of the two binary salt systems to determine model parameters. Retention-time prediction errors for linear gradients were below 12 % for lysozyme and 3 % for trypsinogen and α-chymotrypsinogen A. Finally, the analytical expression for a ternary mobile-phase system was used in combination with a genetic algorithm to tune the HIC selectivity. With an optimized segmented ternary gradient, a critical-pair separation for a mixture of 7 proteins was achieved within 15 min with retention-time prediction errors ranging between 0.7 and 15.7 %.

Salmonella enterica (S. enterica) is the most common food and waterborne pathogen worldwide. The growing trend of antibiotic-resistant S. enterica poses severe healthcare threats. As an alternative antimicrobial agent, bacteriophage-encoded endolysins (endolysins) are a potential agent in controlling S. enterica infection. Endolysins are enzymes that particularly target the peptidoglycan layer of bacterial cells, leading to their rupture and destruction. However, the application of endolysins against Gram-negative bacteria is limited due to the presence of the outer membrane in the cell wall, which hinders the permeation of externally applied endolysins. This study aimed the prokaryotic expression system to produce the recombinant endolysin ENDO-1252, encoded by the Salmonella bacteriophage-1252 associated with S. Enteritidis. Subsequently, ENDO-1252 had strong lytic activity not only against S. Enteritidis but also against S. Typhimurium. In addition, ENDO-1252 showed optimal thermostability and lytic activity at 25°C with a pH of 7.0. In combination with 0.1 mM EDTA, the effect of 120 µg of ENDO-1252 for 6 hours exhibited the highest lytic activity, resulting in a reduction of 1.15 log or 92.87% on S. Enteritidis. These findings suggest that ENDO-1252 can be used as a potential and innovative antibacterial agent for controlling the growth of S. Enteritidis.

In the last years, extracellular vesicles (EVs), secreted by various cells and body fluids have shown extreme potential in biomedical applications. Increasing number of studies suggest that a protein corona could adhere to the surface of EVs which can have a fundamental effect on their function, targeting and therapeutical efficacy. However, removing and identifying these corona members is currently a challenging task to achieve. In this study we have employed red blood cell-derived extracellular vesicles (REVs) as a model system and three membrane active antimicrobial peptides (AMPs), LL-37, FK-16 and CM15, to test whether they can be used to remove protein corona members from the surface of vesicles. These AMPs were reported to preferentially exert their membrane-related activity via one of the common helical surface-covering models and do not significantly affect the interior of lipid bilayer bodies. The interaction between the peptides and the REVs was followed by biophysical techniques, such as flow-linear dichroism spectroscopy which provided the effective applicable peptide concentration for protein removal. REV samples were then subjected to subsequent size exclusion chromatography and to proteomics analysis. Based on the comparison of control REVs with the peptide treated samples, seventeen proteins were identified as external protein corona members. From the three investigated AMPs, FK-16 can be considered as the best candidate to further optimize EV-related applicability of AMPs. Our results on the REV model system envisage that membrane active peptides may become a useful set of tools in engineering and modifying surfaces of EVs and other lipid-based natural particles.

Through its pathological and genetic association to Parkinson\'s Disease (PD), α-synuclein (α-syn) remains a favorable therapeutic target that is being investigated using various modalities, including many passive immunotherapy approaches clinically targeting different forms of α-syn and epitopes. Whereas published studies from some immunotherapy trials have demonstrated engagement in plasma, none have shown direct drug-antigen interactions in the disease-relevant compartment, the central nervous system (CNS). Cinpanemab (BIIB054) selectively targets pathological aggregated α-syn with low affinity binding to monomeric forms. The avidity-driven binding, low drug concentration, and the very low α-syn levels plus its heterogeneous nature in cerebrospinal fluid (CSF) made it not possible to measure drug-target interactions by conventional assays. Here we overcame these challenges by using zero-length crosslinking to stabilize the BIIB054-α-syn complexes and then quantified the crosslinked complexes using a Meso Scale Discovery (MSD) electrochemiluminescence assay. CSF samples from healthy volunteers (HV, n=46) and individuals with PD (PD, n=18) from study 228HV101 (Phase I clinical trial of BIIB054), demonstrated dose- and time- dependent binding of cinpanemab to α-syn with measurable complexes detected at doses {greater than or equal to}15 mg/kg. Complex formation displayed a direct positive correlation to drug concentration (Spearman rank correlation = 0.8295 (HV), 0.8032 (PD) p < 0.0001 (HV, PD)). The observed binding of cinpanemab to α-syn in CSF is consistent with its low intrinsic affinity for α-syn monomer and provides evidence that the drug is behaving with expected binding dynamics in the central nervous system compartment. Significance Statement A zero-length cross-linking method with MSD detection was developed to enable quantification of cinpanemab-α-syn complexes in Phase 1 clinical CSF samples by preventing signal loss caused by their rapid dissociation. Observed dose- and time-dependent binding were consistent with cinpanemab\'s affinity for α-syn and provided confidence that the drug had engaged its target at the desired site of action. This is the first demonstration of α-syn binding by an antibody in clinical samples from the CNS.

Protein-protein interactions are essential for normal cellular processes and signaling events. Defining these interaction networks is therefore crucial for understanding complex cellular functions and interpretation of disease-associated gene variants. We need to build a comprehensive picture of the interactions, their affinities and interdependencies in the specific organ to decipher hitherto poorly understood signaling mechanisms through ion channels. Here we report the experimental identification of the ensemble of protein interactors for 13 types of ion channels in murine cardiac tissue. Of these, we validated the functional importance of ten interactors on cardiac electrophysiology through genetic knockouts in zebrafish, gene silencing in mice, super-resolution microscopy and patch clamp experiments. Furthermore, we establish a computational framework to reconstruct human cardiomyocyte ion channel networks from deep proteome mapping of human heart tissue and human heart single-cell gene expression data. Finally, we integrate the ion channel interactome with human population genetics data to identify proteins that influence the electrocardiogram (ECG). We demonstrate that the combined channel network is enriched for proteins influencing the ECG, with 44% of the network proteins significantly associated with an ECG phenotype. Altogether, we define interactomes of 13 major cardiac ion channels, contextualize their relevance to human electrophysiology and validate functional roles of ten interactors, including two regulators of the sodium current (epsin-2 and gelsolin). Overall, our data provide a roadmap for our understanding of the molecular machinery that regulates cardiac electrophysiology.

Spatial comprehensive three-dimensional chromatography (3D-LC) offers an innovative approach to achieve unprecedented resolving power in terms of peak capacity and sample throughput. This advanced technique separates components within a 3D separation space, where orthogonal retention mechanisms are incorporated. The parallel development of the second- and third-dimension stages effectively overcomes the inherent limitation of conventional multidimensional approaches, where sampled fractions are analyzed sequentially. This review focuses on the design aspects of the microchip for spatial 3D-LC and the selection of orthogonal separation modes to enable the analysis of intact proteins. The design considerations for the flow distributor and channel layout are discussed, along with various approaches to confine the flow during the subsequent development stages. Additionally, the integration of stationary phases into the microchip is addressed, and interfacing to mass spectrometry detection is discussed. According to Pareto optimality, the integration of isoelectric focusing, size-exclusion chromatography, and reversed-phase chromatography in a spatial 3D-LC approach is predicted to achieve an exceptional peak capacity of over 30,000 within a 1-h analysis, setting a new benchmark in chromatographic performance.

BACKGROUND: Accurately diagnosing the state of dental pulp is crucial when addressing tooth pain to determine the best treatment approach. This study aimed to investigate the concentration of inflammatory mediators in the dental pulp of mature teeth that have been exposed via caries but show no signs of apical periodontitis.
METHODS: Samples of pulpal blood from adults with mature teeth responsive to pulp testing and have carious pulp exposures were obtained. These samples were analyzed for 12 inflammatory cytokines and other inflammatory proteins using the Luminex assay platform. Clinical factors were correlated with cytokine levels, and statistical analysis was performed to evaluate the impact of these factors on cytokine expression.
RESULTS: Of the 36 patients that were included, 44.44% took pain medications, 33.33% had prolonged pulpal bleeding, 41.67% felt spontaneous pain, and 72.22% were diagnosed with symptomatic irreversible pulpitis. Significant correlations existed between presenting pain scores and levels of interleukin (IL)-1α, IL-6, and IL-8 (P < .05). Factors like analgesic medication intake, pain to percussion, pain to thermal testing, spontaneous pain, and nocturnal pain were significantly associated with higher levels of specific inflammatory proteins. No significant associations were observed with pain to palpation, bleeding time, or pulpal diagnosis.
CONCLUSIONS: Inflammatory proteins, including cytokine levels may play a critical role in characterizing pulpal inflammation. Future studies should investigate the role of these potential biomarkers in determining the diagnosis of pulpitis and the prognosis of vital pulp therapy.

Mass spectrometry is a powerful tool in the hand of life science researchers, who constantly develop and apply new methods for the investigation of biomolecules, such as proteins, peptides, metabolites, lipids, and glycans. In this review, we will discuss the importance of mass spectrometry for the life science sector, with a special focus on the most relevant current applications in the field of proteomics. Moreover, we will comment on the factors that research groups should consider when setting up a mass spectrometry laboratory, and on the fundamental role played by academic core facilities and industrial service providers.