Differences In Ion Intensities Research Articles

LC–MS Based Serum Metabolomics for Identification of Hepatocellular Carcinoma Biomarkers in Egyptian Cohort

Although hepatocellular carcinoma (HCC) has been subjected to continuous investigation and its symptoms are well-known, early stage diagnosis of this disease remains difficult and the survival rate after diagnosis is typically very low (3-5%). Early and accurate detection of metabolic changes in the sera of patients with liver cirrhosis can help improve the prognosis of HCC and lead to a better understanding of its mechanism at the molecular level, thus providing patients with in-time treatment of the disease. In this study, we compared metabolite levels in sera of 40 HCC patients and 49 cirrhosis patients from Egypt by using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometer (UPLC-QTOF MS). Following data preprocessing, the most relevant ions in distinguishing HCC cases from cirrhotic controls are selected by statistical methods. Putative metabolite identifications for these ions are obtained through mass-based database search. The identities of some of the putative identifications are verified by comparing their MS/MS fragmentation patterns and retention times with those from authentic compounds. Finally, the serum samples are reanalyzed for quantitation of selected metabolites as candidate biomarkers of HCC. This quantitation was performed using isotope dilution by selected reaction monitoring (SRM) on a triple quadrupole linear ion trap (QqQLIT) coupled to UPLC. Statistical analysis of the UPLC-QTOF data identified 274 monoisotopic ion masses with statistically significant differences in ion intensities between HCC cases and cirrhotic controls. Putative identifications were obtained for 158 ions by mass based search against databases. We verified the identities of selected putative identifications including glycholic acid (GCA), glycodeoxycholic acid (GDCA), 3β, 6β-dihydroxy-5β-cholan-24-oic acid, oleoyl carnitine, and Phe-Phe. SRM-based quantitation confirmed significant differences between HCC and cirrhotic controls in metabolite levels of bile acid metabolites, long chain carnitines and small peptide. Our study provides useful insight into appropriate experimental design and computational methods for serum biomarker discovery using LC-MS/MS based metabolomics. This study has led to the identification of candidate biomarkers with significant changes in metabolite levels between HCC cases and cirrhotic controls. This is the first MS-based metabolic biomarker discovery study on Egyptian subjects that led to the identification of candidate metabolites that discriminate early stage HCC from patients with liver cirrhosis.

Experimental variables and matrix effects associated with the onset of ion generation in laser ionization of solid samples

The signal intensity in nanosecond laser ionization of solid samples is the consequence of primary mechanisms resulting from laser-matter interaction, and secondary processes that occurs during free expansion of material in the gas phase. The lower the laser fluence, the less important are the secondary mechanisms. At the minimum energy required—the threshold condition—the onset of ion generation for pure samples depends almost exclusively on their thermal properties. The present paper investigates the influence of some sample variables on the laser-ionization at the threshold conditions with the aim of determining to what extent the differences in ion intensities derived from different matrices does occur from the earliest stages in the ion formation. To perform these studies, different pure (Cr, Ni, Fe, Cu, Pb, Sn, Zn) and alloyed metallic samples have been analyzed by laser-ionization mass spectrometry (LIMS). The results reveal that the ionization thresholds are sample-dependent although all the elements within a specific alloy do exhibit similar ionization threshold. This result shows that the thermal properties of the whole sample are responsible for the laser-matter interaction in alloyed samples and not the individual thermal properties of their constituents.

Cryodetector mass spectrometry profiling of plasma samples for HELLP diagnosis: An exploratory study

The cryodetector MS-based screening method enables the rapid and reliable separation of hemolysis, elevated liver enzymes, and low platelets syndrome (HELLP) patients from healthy women. For developing the assay, plasma protein abundances from patients suffering from HELLP were profiled before and after delivery and compared to healthy pregnant and nonpregnant control individuals, using a TOF mass spectrometer equipped with a cryodetector system. The spectra were well reproducible when acquisition conditions were kept constant and the overall appearance of the profiles was well comparable. Peak areas of ten selected ion signals (9.5, 11.8, 14.0, 28.1, 43.4, 50.5, 60.1, 66.6, 74.5, and 79.8 kDa) from each spectrum were subjected to statistical analysis. Significant differences in ion intensities between the groups could be measured even without sample fractionation. The most striking difference between most of the spectra from HELLP patients and nonHELLP samples was the presence/absence of the 11.8 kDa ion signal (p-value: 0.0000365), most likely belonging to serum amyloid A (SAA). Other significant differences in ion intensities between HELLP and control samples were observed in the peak areas of the 14.0, 28.1, 50.5, and 74.5 kDa ion signals. Using the cryodetector MS data for sorting plasma samples into either the HELLP group (n = 8) or the nonHELLP group (n = 22), a sensitivity of 87.5% and a specificity of 100% were achieved. The positive predictive value of our screening assay was 100% and a negative predictive value of 95.6% was obtained with the samples included in this study.