Estimation of measurement uncertainty for the quantification of protein by ID-LC-MS/MS

Comparative profiling of the absorbed compounds and metabolites, and pharmacokinetic studies of Danshen-Chuanxiong herb pair in rat plasma and brain using liquid chromatography-tandem mass spectrometry

Danshen-Chuanxiong (DS-CX) was a classic herb pair commonly used to treat ischemic stroke. Nevertheless, the metabolic conversion and pharmacokinetic behavior of DS-CX in vivo remains unclear. This work aimed to reveal the in vivo metabolic behavior of DS-CX through establishing metabolic profiles and performing multicomponent pharmacokinetics analysis. The mass defect filtering (MDF) strategy integrated with UHPLC-QTOF-MS was firstly developed to characterize the metabolites of DS-CX in rats' plasma and brain. Moreover, a sensitive UHPLC-QQQ-MS method was utilized to perform the comparative pharmacokinetic studies of major active ingredients of DS-CX in rats' plasma. A total of 111 exogenous compounds (29 prototype compounds and 82 metabolites) were identified in rat biological samples. The major metabolic pathways were hydroxylation, methylation, deoxidation, dehydration, hydrogenation, demethylation, hydrolysis, decarboxylation and glucuronidation binding reactions. According to the results of metabolites profiling, sixteen active compounds (8 phenolic acids, 5 phthalides and 3 tanshinones) were selected as markers for further comparative pharmacokinetics study. Compared with the oral administration of DS or CX alone, the higher Cmax of salvianolic acid B, crytotanshinone and tanshinone IIA; the shorter Tmax of lithospermic acid, rosmarinic acid and tanshinone IIA; as well as the higher AUC0-∞ of ferulic acid, rosmarinic acid, salvianolic acid B, senkyunolide I and crytotanshinone, could be found after co-administration of DS-CX (P < 0.05). This study provided the overall knowledge of metabolites profiling of DS-CX in vivo, which would help to understand the effective material basis and promote the clinical application of DC-CX herb pair.

Extent of Equivalence of Results for Urine Albumin among 3 Candidate Mass Spectrometry Reference Measurement Procedures

BACKGROUND

Urine albumin (UA) is an important biomarker of chronic kidney disease. Current in vitro diagnostic medical devices (IVD-MDs) for measuring UA are not standardized, and median results among IVD-MDs differ by approximately 45%. Since fixed decision values are used to interpret UA, higher-order reference measurement procedures (RMPs) are needed for metrological traceability. Three candidate liquid chromatography-tandem mass spectrometry RMPs have been developed for UA.

METHODS

Eight single-donation human urine samples were measured by 3 candidate RMPs. Results were compared using t-test and variance component analysis.

RESULTS

The mean results for each urine sample from each RMP laboratory were not statistically different from the overall mean value by t-test. The median total CV including contributions from bias and imprecision among the 3 RMP laboratories was 6.23% using variance component analysis for each sample. The allowable bias to the RMP for an end-user IVD-MD was ≦9.0% or ≦3.0% based on the desirable or optimal total allowable error of 30% or 24%, respectively. A maximum allowable standard uncertainty for an RMP result was determined to be 4.3% or 3.3% for desirable or optimal performance, respectively. The standard uncertainties for all of the RMP laboratories meet the desirable and optimal standard uncertainty specifications.

CONCLUSION

The candidate RMPs for UA in these 3 laboratories have suitable agreement of results and uncertainties for use as higher-order RMPs in the metrological traceability of end-user IVD-MDs for measuring UA.

Proteomics-The State of the Field: The Definition and Analysis of Proteomes Should Be Based in Reality, Not Convenience

With growing recognition and acknowledgement of the genuine complexity of proteomes, we are finally entering the post-proteogenomic era. Routine assessment of proteomes as inferred correlates of gene sequences (i.e., canonical 'proteins') cannot provide the necessary critical analysis of systems-level biology that is needed to understand underlying molecular mechanisms and pathways or identify the most selective biomarkers and therapeutic targets. These critical requirements demand the analysis of proteomes at the level of proteoforms/protein species, the actual active molecular players. Currently, only highly refined integrated or integrative top-down proteomics (iTDP) enables the analytical depth necessary to provide routine, comprehensive, and quantitative proteome assessments across the widest range of proteoforms inherent to native systems. Here we provide a broad perspective of the field, taking in historical and current realities, to establish a more balanced understanding of where the field has come from (in particular during the ten years since Proteomes was launched), current issues, and how things likely need to proceed if necessary deep proteome analyses are to succeed. We base this in our firm belief that the best proteomic analyses reflect, as closely as possible, the native sample at the moment of sampling. We also seek to emphasise that this and future analytical approaches are likely best based on the broad recognition and exploitation of the complementarity of currently successful approaches. This also emphasises the need to continuously evaluate and further optimize established approaches, to avoid complacency in thinking and expectations but also to promote the critical and careful development and introduction of new approaches, most notably those that address proteoforms. Above all, we wish to emphasise that a rigorous focus on analytical quality must override current thinking that largely values analytical speed; the latter would certainly be nice, if only proteoforms could thus be effectively, routinely, and quantitatively assessed. Alas, proteomes are composed of proteoforms, not molecular species that can be amplified or that directly mirror genes (i.e., 'canonical'). The problem is hard, and we must accept and address it as such, but the payoff in playing this longer game of rigorous deep proteome analyses is the promise of far more selective biomarkers, drug targets, and truly personalised or even individualised medicine.

Special Issue with Research Topics on "Recent Analysis and Applications of Mass Spectra on Biochemistry"

Analytical mass spectrometry applies irreplaceable mass spectrometric (MS) methods to analytical chemistry and chemical analysis, among other areas of analytical science [...].