Screening of Sera from Patients with Pancreatitis by an Apoptosis Assay of Skin-derived Cells.

BACKGROUND/AIMS: An excessive inflammatory response is typical in acute pancreatitis and a significant cause of early mortality in severe acute pancreatitis. This is believed to be caused by inflammatory molecules or upregulated cytokine levels in the serum of patients. The aim of this study was to identify the serum-mediated apoptosis-inducing effects in acute pancreatitis patients. METHODS: A skin tissue-derived cell line, BJ, was treated for 24 hours with the sera of 22 healthy volunteers (control) and 71 acute pancreatitis patients (22 with gallstone pancreatitis, 16 with alcoholic pancreatitis, and 11 with pancreatitis with other causes) collected at the time of hospital admission (active) and discharge (resolved). Apoptosis was analyzed by flow cytometry. RESULTS: The average percentage of living cells, early apoptotic cells, and late apoptotic cells ranged from 78.8% to 85.0%, 5.5% to 7.3%, and 7.7% to 13.1%, respectively. The number of live cells increased significantly using the serum from the resolved state of gallstone-induced pancreatitis. In addition, the number of early apoptotic cells increased significantly using the serum from the resolved state of pancreatitis with other causes. The number of late apoptotic cells decreased significantly with the serum from the resolved state compared to the active state of gallstone- and alcohol-induced pancreatitis. CONCLUSIONS: Serum samples from patients with pancreatitis induced a change in the apoptosis profiles of skin-derived cells. These results indicate changes in the serum components in patients with acute pancreatitis.

Internal standard metabolites for obtaining absolute quantitative information on the components of bloodstains by standardization of samples.

Analysis of the components of bloodstains found at crime scenes can provide important information for solving the crime. However, components of blood and bloodstains vary with volume and various other unpredictable factors. Therefore, it is necessary to specify the volume of the initial liquid blood droplet and standardize the analysis. In this study, internal standard metabolites that remained constant in a certain amount of bloodstain, long after deposition of the stain, were identified. Liquid chromatography-electrospray ionization-tandem mass spectrometry of the metabolites extracted from the bloodstain samples at various time points (0, 7, 14, 21, and 28 days) was performed. The coefficient of variation (CV) of the obtained molecular features was calculated for each criterion: time point, subject, and all data (time and subject, triplicate of each). Five molecular features with average CVs of less than or equal to 5% were selected as candidates. Partial least squares discriminant analysis and principal component analysis showed that the effect on the candidates was very low over time. The fold-change value of abundances was confirmed according to time. Stigmasterol exhibited the most stable pattern; l-methionine remained stable until day 14 and after day 21. This study was the first attempt to identify internal standard metabolites that were maintained at a constant level in a bloodstain for a sufficiently long time. Analysis of internal standard metabolites in bloodstains will facilitate determination of the initial blood volume from which the bloodstain was made. Moreover, this method will provide an approach for standardization of bloodstains to obtain absolute quantitative information of bloodstain components at crime scenes.

Estimation of Age of Bloodstains by Mass-Spectrometry: A Metabolomic Approach.

Bloodstains are common evidence in crime scenes, containing significant information, including genetic information. Although efforts have been made to reliably determine the time of incident by analyzing the elapsed time of the bloodstain, there has been limited success. To identify candidate metabolites in bloodstains over time, we prepared bloodstain samples using filter paper and analyzed the metabolites by high-performance liquid chromatography-mass spectrometry (HPLC-MS)/MS over a 21-day period. Using Venn diagrams and by multivariate analysis, we selected 62 candidate molecular features. We found by partial least-squares discriminant analysis (PLS-DA) that the group can be classified with an accuracy of 75.0%, and the R2 and Q2 values were 0.7513 and 0.6998, respectively. Five metabolites were successfully identified based on candidate molecular features. The level of two metabolites, l-tryptophan and ergothioneine, decreased with time. The concentration of candidate metabolites that we propose reliably increased or decreased with time, thus, enabling the measurement of elapsed time of the bloodstain. This study is the first to identify markers used to analyze the elapsed time of bloodstains through metabolomics analysis.

N-glycoproteomic analysis of human follicular fluid during natural and stimulated cycles in patients undergoing in vitro fertilization.

OBJECTIVE: Hyperstimulation methods are broadly used for in vitro fertilization (IVF) in patients with infertility; however, the side effects associated with these therapies, such as ovarian hyperstimulation syndrome (OHSS), have not been well studied. N-glycoproteomes are subproteomes used for the remote sensing of ovarian stimulation in follicular growth. Glycoproteomic variation in human follicular fluid (hFF) has not been evaluated. In this study, we aimed to identify and quantify the glycoproteomes and N-glycoproteins (N-GPs) in natural and stimulated hFF using label-free nano-liquid chromatography/electrospray ionization-quad time-of-flight mass spectrometry. METHODS: For profiling of the total proteome and glycoproteome, pooled protein samples from natural and stimulated hFF samples were selectively isolated using hydrazide chemistry to obtain the total proteomes and glycoproteomes. N-GPs were validated by the consensus sequence N-X-S/T (92.2% specificity for the N-glycomotif at p<0.05). All data were compared between natural versus hyperstimulated hFF samples. RESULTS: We detected 41 and 44 N-GPs in the natural and stimulated hFF samples, respectively. Importantly, we identified 11 N-GPs with greater than two-fold upregulation in stimulated hFF samples compared to natural hFF samples. We also validated the novel N-GPs thyroxine-binding globulin, vitamin D-binding protein, and complement proteins C3 and C9. CONCLUSION: We identified and classified N-GPs in hFF to improve our understanding of follicular physiology in patients requiring assisted reproduction. Our results provided important insights into the prevention of hyperstimulation side effects, such as OHSS.