Enhanced Pharmacokinetic Bioanalysis of Antibody-drug Conjugates using Hybrid Immunoaffinity Capture and Microflow LC-MS/MS.

The increasing complexity and diversity of antibody-drug conjugates (ADCs) have led to a need for comprehensive and informative bioanalytical methods to enhance pharmacokinetic (PK) understanding. This study aimed to evaluate the feasibility of a hybrid immunoaffinity (IA) capture microflow LC-MS/MS (µLC-MS/MS) method for ADC analysis, utilizing a minimal sample volume for PK assessments in a preclinical study. A robust workflow was established for the quantitative analysis of ADCs by the implementation of solid-phase extraction (SPE) and semi-automation in µLC-MS/MS. Utilizing the µLC-MS/MS approach in conjunction with 1 µL of ADC-dosed mouse plasma sample volume, standard curves of two representative surrogate peptides for total antibody (heavy chain, HC) and intact antibody (light chain, LC) ranged from 1.00 ng/mL (LLOQ) to 5000 ng/mL with correlation coefficients (r2) values of > 0.99. The linear range of the standard curve for payload as a surrogate for the concentration of total ADC was from 0.5 ng/mL (LLOQ) to 2000 ng/mL with high accuracy and precision (< 10% CV at all concentrations). Moreover, a high correlation of concentrations of total antibody between two assay approaches (µLC-MS and ELISA) was achieved with less than 20% difference at all time points, indicating that the two methods are comparable in quantitation of total antibody in plasma samples. The µLC-MS platform demonstrated a greater dynamic range, sensitivity, robustness, and good reproducibility. These findings demonstrated that the cost-effective µLC-MS method can reduce reagent consumption and minimize the use of mice plasma samples while providing more comprehensive information about ADCs being analyzed, including the total antibody, intact antibody, and total ADC.

Pseudomonas sp. Strain 273 Incorporates Organofluorine into the Lipid Bilayer during Growth with Fluorinated Alkanes.

Anthropogenic organofluorine compounds are recalcitrant, globally distributed, and a human health concern. Although rare, natural processes synthesize fluorinated compounds, and some bacteria have evolved mechanisms to metabolize organofluorine compounds. Pseudomonas sp. strain 273 grows with 1-fluorodecane (FD) and 1,10-difluorodecane (DFD) as carbon sources, but inorganic fluoride release was not stoichiometric. Metabolome studies revealed that this bacterium produces fluorinated anabolites and phospholipids. Mass spectrometric fatty acid profiling detected fluorinated long-chain (i.e., C12-C19) fatty acids in strain 273 cells grown with FD or DFD, and lipidomic profiling determined that 7.5 ± 0.2 and 82.0 ± 1.0% of the total phospholipids in strain 273 grown with FD or DFD, respectively, were fluorinated. The detection of the fluorinated metabolites and macromolecules represents a heretofore unrecognized sink for organofluorine, an observation with consequences for the environmental fate and transport of fluorinated aliphatic compounds.

Pseudomonas sp. Strain 273 Degrades Fluorinated Alkanes.

Fluorinated organic compounds have emerged as environmental constituents of concern. We demonstrate that the alkane degrader Pseudomonas sp. strain 273 utilizes terminally monofluorinated C7-C10 alkanes and 1,10-difluorodecane (DFD) as the sole carbon and energy sources in the presence of oxygen. Strain 273 degraded 1-fluorodecane (FD) (5.97 ± 0.22 mM, nominal) and DFD (5.62 ± 0.13 mM, nominal) within 7 days of incubation, and 92.7 ± 3.8 and 90.1 ± 1.9% of the theoretical maximum amounts of fluorine were recovered as inorganic fluoride, respectively. With n-decane, strain 273 attained (3.24 ± 0.14) × 107 cells per µmol of carbon consumed, while lower biomass yields of (2.48 ± 0.15) × 107 and (1.62 ± 0.23) × 107 cells were measured with FD or DFD as electron donors, respectively. The organism coupled decanol and decanoate oxidation to denitrification, but the utilization of (fluoro)alkanes was strictly oxygen-dependent, presumably because the initial attack on the terminal carbon requires oxygen. Fluorohexanoate was detected as an intermediate in cultures grown with FD or DFD, suggesting that the initial attack on the fluoroalkanes can occur on the terminal methyl or fluoromethyl groups. The findings indicate that specialized bacteria such as Pseudomonas sp. strain 273 can break carbon-fluorine bonds most likely with oxygenolytic enzyme systems and that terminally monofluorinated alkanes are susceptible to microbial degradation. The findings have implications for the fate of components associated with aqueous film-forming foam (AFFF) mixtures.

Rumen fluid metabolomics of beef steers differing in feed efficiency.

INTRODUCTION: Beef is the most consumed red meat in the United States, and the US is the largest producer and consumer of beef cattle globally. Feed is one of the largest input costs for the beef cattle industry, accounting for 40-60% of the total input costs. Identifying methods for improving feed efficiency in beef cattle herds could result in decreased cost to both producers and consumers, as well as increased animal protein available for global consumption. METHODS: In this study, rumen fluid was collected from low- (n = 14) and high-RFI (n = 15) steers. Rumen fluid was filtered through a 0.22 µM syringe filter, extracted using 0.1% formic acid in acetonitrile:water:methanol (2:2:1) and injected into the Dionex UltiMate 3000 UHPLC system with an Exactive Plus Orbitrap MS. Peaks were identified using MAVEN and analyzed using MetaboAnalyst 4.0 and SAS. Significance was determined using an α ≤ 0.05. RESULTS: Eight metabolites were greater in low-RFI steers compared to high-RFI steers, including 3,4-dihydroxyphenylacetate, 4-pyridoxate, citraconate, hypoxanthine, succinate/methylmalonate, thymine, uracil, and xylose (P ≤ 0.05). These metabolites were predominantly involved in amino acid and lipid metabolism. CONCLUSIONS: Rumen fluid metabolomes differ in steers of varying feed efficiencies. These metabolites may be used as biomarkers of feed efficiency, and may provide insight as to factors contributing to differences in feed efficiency that may be exploited to improve feed efficiency in beef cattle herds.

Rumen Bacteria and Serum Metabolites Predictive of Feed Efficiency Phenotypes in Beef Cattle.

The rumen microbiome is critical to nutrient utilization and feed efficiency in cattle. Consequently, the objective of this study was to identify microbial and biochemical factors in Angus steers affecting divergences in feed efficiency using 16S amplicon sequencing and untargeted metabolomics. Based on calculated average residual feed intake (RFI), steers were divided into high- and low-RFI groups. Features were ranked in relation to RFI through supervised machine learning on microbial and metabolite compositions. Residual feed intake was associated with several features of the bacterial community in the rumen. Decreased bacterial α- (P = 0.03) and ß- diversity (P < 0.001) was associated with Low-RFI steers. RFI was associated with several serum metabolites. Low-RFI steers had greater abundances of pantothenate (P = 0.02) based on fold change (high/low RFI). Machine learning on RFI was predictive of both rumen bacterial composition and serum metabolomic signature (AUC ≥ 0.7). Log-ratio proportions of the bacterial classes Flavobacteriia over Fusobacteriia were enriched in low-RFI steers (F = 6.8, P = 0.01). Reductions in Fusobacteriia and/or greater proportions of pantothenate-producing bacteria, such as Flavobacteriia, may result in improved nutrient utilization in low-RFI steers. Flavobacteriia and Pantothenate may potentially serve as novel biomarkers to predict or evaluate feed efficiency in Angus steers.

Design and Evaluation of a Gas Chromatograph-Atmospheric Pressure Chemical Ionization Interface for an Exactive Orbitrap Mass Spectrometer.

Various separation and mass spectrometric (MS) techniques have furthered our ability to study complex mixtures, and the desire to measure every analyte in a system is of continual interest. For many complex mixtures, such as the total molecular content of a cell, it is becoming apparent that no one single separation technique or analysis is likely to achieve this goal. Therefore, having a variety of tools to measure the complexity of these mixtures is prudent. Orbitrap MSs are broadly used in systems biology studies due to their unique performance characteristics. However, GC-Orbitraps have only recently become available, and instruments that can use gas chromatography (GC) cannot use liquid chromatography (LC) and vice versa. This limits small molecule analyses, such as those that would be employed for metabolomics, lipidomics, or toxicological studies. Thus, a simple, temporary interface was designed for a GC and Thermo Scientific™ Ion Max housing unit. This interface enables either GC or LC separation to be used on the same MS, an Exactive™ Plus Orbitrap, and utilizes an atmospheric pressure chemical ionization (APCI) source. The GC-APCI interface was tested against a commercially available atmospheric pressure photoionization (APPI) interface for three types of analytes that span the breadth of typical GC analyses: fatty acid methyl esters (FAMEs), polyaromatic hydrocarbons (PAHs), and saturated hydrocarbons. The GC-APCI-Orbitrap had similar or improved performance to the APPI and other reported methods in that it had a lower limit of quantitation, better signal to noise, and lower tendency to fragment analytes.

Differential Sensitivity to Plasmodium yoelii Infection in C57BL/6 Mice Impacts Gut-Liver Axis Homeostasis.

Experimental models of malaria have shown that infection with specific Plasmodium species in certain mouse strains can transiently modulate gut microbiota and cause intestinal shortening, indicating a disruption of gut homeostasis. Importantly, changes in gut homeostasis have not been characterized in the context of mild versus severe malaria. We show that severe Plasmodium infection in mice disrupts homeostasis along the gut-liver axis in multiple ways compared to mild infection. High parasite burden results in a larger influx of immune cells in the lamina propria and mice with high parasitemia display specific metabolomic profiles in the ceca and plasma during infection compared to mice with mild parasitemia. Liver damage was also more pronounced and longer lasting during severe infection, with concomitant changes in bile acids in the gut. Finally, severe Plasmodium infection changes the functional capacity of the microbiota, enhancing bacterial motility and amino acid metabolism in mice with high parasite burden compared to a mild infection. Taken together, Plasmodium infections have diverse effects on host gut homeostasis relative to the severity of infection that may contribute to enteric bacteremia that is associated with malaria.

Technology Commercialization Effects on the Conduct of Research in Higher Education.

The objective of this study was to investigate the effects of technology commercialization on researcher practice and productivity at U.S. universities. Using data drawn from licensing contract documents and databases of university-industry linkages and faculty research output, the study findings suggest that the common practice of licensing technologies exclusively to singular firms may have a dampening effect on faculty inventor propensity to conduct published research and to collaborate with others on research. Furthermore, faculty who are more actively engaged in patenting may be less likely to collaborate with outsiders on research while faculty at public universities may experience particularly strong norms to engage in commercialization vis-à-vis traditional routes to research dissemination. These circumstances appear to be hindering innovation via the traditional mechanisms (research publication and collaboration), questioning the success of policymaking to date for the purpose of speeding the movement of research from the lab bench to society.

Inside the triple helix: technology transfer and commercialization in the life sciences.

The transfer and subsequent application of academic research results has demonstrable benefits for health care, researchers, universities, companies, and local economies. Nonetheless, at least three general concerns exist: bias in the reporting of results, limited revenues from these activities, and the lack of data to evaluate technology transfer activities. Future efforts with regard to technology transfer in the life sciences will need to recognize its importance without ignoring concerns or overestimating benefits. Next steps include better monitoring of university-industry relationships, the development of a better data system, the dissemination of best practices in technology transfer management, and evaluation of national technology-transfer policies.