Evidence review and recommendations for the implementation of genomics for antimicrobial resistance surveillance: reports from an international expert group.

Nearly a century after the beginning of the antibiotic era, which has been associated with unparalleled improvements in human health and reductions in mortality associated with infection, the dwindling pipeline for new antibiotic classes coupled with the inevitable spread of antimicrobial resistance (AMR) poses a major global challenge. Historically, surveillance of bacteria with AMR typically relied on phenotypic analysis of isolates taken from infected individuals, which provides only a low-resolution view of the epidemiology behind an individual infection or wider outbreak. Recent years have seen increasing adoption of powerful new genomic technologies with the potential to revolutionise AMR surveillance by providing a high-resolution picture of the AMR profile of the bacteria causing infections and providing real-time actionable information for treating and preventing infection.

A Simple Approach for Comparing the In Vitro Dissolution Profiles of Highly Variable Drug Products: a Proposal.

When in vitro dissolution profile variability prohibits the use of the F2 metric, there currently is no satisfactory alternative available. Published reports evaluating alternative approaches such as Multivariate Statistical Distance and use of a bootstrap F2 identify sources of bias that can limit the utility of these alternatives. Within veterinary medicine, an additional complication is the potential magnitude of interlot variability associated with dosage forms containing "natural" ingredients.

Optimizing Clinical Drug Product Performance: Applying Biopharmaceutics Risk Assessment Roadmap (BioRAM) and the BioRAM Scoring Grid.

The aim of Biopharmaceutics Risk Assessment Roadmap (BioRAM) and the BioRAM Scoring Grid is to facilitate optimization of clinical performance of drug products. BioRAM strategy relies on therapy-driven drug delivery and follows an integrated systems approach for formulating and addressing critical questions and decision-making (J Pharm Sci. 2014,103(11): 3777-97).

Detection of casein phosphopeptides in goat milk.

The aims of this study were to profile casein phosphopeptides in goat milk, to accurately determine the site of phosphorylation, and to evaluate whether or not any of the casein phosphorylation patterns were specific to a given physiological condition. Goat milk, collected before and after experimental induction of endotoxin mastitis, was separated by SDS-PAGE. Casein bands were digested with trypsin and the resulting peptides were analyzed by nLC-MS/MS.

Proteomic analyses of host and pathogen responses during bovine mastitis.

The pursuit of biomarkers for use as clinical screening tools, measures for early detection, disease monitoring, and as a means for assessing therapeutic responses has steadily evolved in human and veterinary medicine over the past two decades. Concurrently, advances in mass spectrometry have markedly expanded proteomic capabilities for biomarker discovery. While initial mass spectrometric biomarker discovery endeavors focused primarily on the detection of modulated proteins in human tissues and fluids, recent efforts have shifted to include proteomic analyses of biological samples from food animal species.

Proteomic analysis of the temporal expression of bovine milk proteins during coliform mastitis and label-free relative quantification.

The discovery of biomarkers in milk indicative of local inflammation or disease in the bovine mammary gland has been hindered by the extreme biological complexity of milk, the dynamic range of proteins in the matrix that renders the identification of low-abundance proteins difficult, and the challenges associated with quantifying changes during disease in the abundance of proteins for which no antibody exists. The objectives of the current study were to characterize the temporal expression of milk proteins following Escherichia coli challenge and to evaluate change in relative abundance of identified proteins using a liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) label-free semiquantitative approach. Liquid chromatography-MS/MS conducted on whey from milk samples collected just before infusion with E.

Proteomic analysis of differentially expressed proteins in bovine milk during experimentally induced Escherichia coli mastitis.

The objectives of the current study were to profile changes in protein composition using 2-dimensional gel electrophoresis on whey samples from a group of 8 cows before and 18 h after infection with Escherichia coli and to identify differentially expressed milk proteins by peptide sequencing using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry post source decay. Only proteins present in whey fractions of all 8 cows were sequenced to avoid reporting a protein response unique to only a subset of infected cows. Despite the overwhelming presence of casein and beta-lactoglobulin, the low abundance proteins transthyretin, lactadherin, beta-2-microglobulin precursor, alpha-1-acid glycoprotein, and complement C3 precursor could be identified in whey samples from healthy cows.