Multiple Reaction Monitoring Analysis Research Articles

The application of in-source fragmentation in ultra-high performance liquid chromatography-electrospray ionization -tandem mass spectrometry for pesticide residue analysis

In this study, in-source fragmentation in ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UHPLC-ESI-MS/MS) was investigated and applied for pesticide residue analysis. Over 400 pesticides were tested, among which 26 pesticides were found to be sensitive to in-source fragmentation, producing 33 in-source fragments. The fragment pathways were studied and severe in-source fragmentation was observed due to the cleavage of C-O bond of carbamate, phosphate, ester, and ether groups, especially for isocarbophos and methoprene, leading to false negative results. High source temperatures could significantly increase the extent of in-source fragmentation. A multiple reaction monitoring (MRM) based multiresidue method was established for the pesticide residue analysis in vegetables and fruits, applying both pesticides and in-source fragments as precursors. The quantification ability of the method was validated and compared in terms of recovery, linearity, and the limit of quantification. In-source fragmentswere found to be more suitable than their parent pesticides as precursor ions for MRM analysis.

Analyzing aristolochic acids in Chinese herbal preparations using LC/MS/MS

This paper introduces a newly developed method of applying liquid chromatography- tandem mass spectrometry (LC/MS/MS) to the analysis of aristolochic acids (AAs) in Chinese herbal (medicinal) preparations. Sensitive and highly accurate readings were obtained for this study using both a photodiode array (PDA) detector and tandem mass spectrometer. The following optimized conditions for LC/MS/MS were set for this study: Separation was accomplished using a reverse phase C18 column (2.1 × 150 mm, 5 μm). The mobile phase comprised 35% acetonitrile and a 65% aqueous solution containing 0.1% formic acid and 0.1% ammonium acetate at a flow rate of 0.3 mL/min with a split ratio of 1:1 into the PDA detector and the tandem mass spectrometer. MS/MS qualitative analysis was performed at 3.0 kV capillary voltage, with a collision energy level for aristolochic acid I (AA-1) of 10 eV and for aristolochic acid II (AA-II) of 12eV. The electrospray ionization source was operated in the positive mode. AA-I [M + NH4]+ ions at m/z 359 and AA-II [M + NH4]+ ions at m/z 329 were selected as precursor ions for daughter ion scanning. The characteristic daughter ion mass spectra for AA-I and AA-II were generated and studied carefully. Quantification of results was done using the multiple reaction monitoring (MRM) method. The [M + NH4]+ and [(M + NH4)- NH3-CO2]+ ions of both AA-I and AA-II were selected as precursor and daughter ions for the MRM analysis. MS/MS detection limits were defined as 2.0 ng/mL of AA-I, and 2.8 ng/mL of AA-II. The linear regression correlation coefficients of the calibration cure were 0.9992 of AA-I within the range of 0.02-16.00 μg/mL and 0.9988 of AA-II within the range of 0.028-22.40 μg/mL. Relative standard deviations of 0.73% and 10.44% for AA-I, and 1.38% and 6.10% for AA-II were determined for the intraday and interday tests. Recoveries for five differing concentrations of AA-I ranged from 99.0% to 106.9% and, for five differing concentrations of AA-II, ranged from 92.0% to 104.5%. Levels of AA-I and AA-II detected in the 12 commercial Chinese medicinal preparation samples ranged from 11.1 to 3376.0 μg/g and from 5.4 to 725.4 μg/g, respectively.

Proteomics Reveals Plasma Biomarkers for Ischemic Stroke Related to the Coagulation Cascade.

Stroke has a high incidence rate and often leads to permanent disability, particularly if it is not treated promptly. However, no blood biomarkers for early diagnosis are available to date. Therefore, we sought to detect stroke-specific blood biomarkers by identifying proteins associated with the underlying coagulation mechanism, which accounts for more than 80% of all stroke cases. Protein profiling was performed using blood samples from 16 healthy controls and 18 patients who suffered a stroke as the discovery set. We identified upregulated proteins (> 1.5-fold change and p value < 0.05) in patients who suffered a stroke relative to the corresponding levels in healthy controls by nano-liquid chromatography-tandem mass spectrometry using data-independent acquisition based on sequential window acquisition of all theoretical mass spectra, which was developed to improve the consistency and accuracy of candidate proteins. Pathway analysis confirmed that the upregulated proteins were mainly involved in blood coagulation. Among these, we selected prothrombin, plasminogen, fibrinogen alpha-chain, and histidine-rich glycoprotein as candidate biomarkers. Multiple reaction monitoring analysis was performed on a validation set of 61 serum samples (31 healthy controls and 30 stroke patients) to assess the diagnostic value of the candidate biomarkers. All four proteins showed higher expression levels in patients with stroke than in healthy controls. The areas under the receiver operating characteristic curve were greater than 0.9, confirming their clinical value. These four blood coagulation proteins may help in diagnosing stroke more accurately and quickly.

Proteomics-Based Identification of Diagnostic Biomarkers Related to Risk Factors and Pathogenesis of Ischemic Stroke.

Ischemic stroke is caused by blood clot formation and consequent vessel blockage. Proteomic approaches provide a cost-effective alternative to current diagnostic methods, including computerized tomography (CT) scans and magnetic resonance imaging (MRI). To identify diagnostic biomarkers associated with ischemic stroke risk factors, we performed individual proteomic analysis of serum taken from 20 healthy controls and 20 ischemic stroke patients. We then performed SWATH analysis, a data-independent method, to assess quantitative changes in protein expression between the two experimental conditions. Our analysis identified several candidate protein biomarkers, 11 of which were validated by multiple reaction monitoring (MRM) analysis as novel diagnostic biomarkers associated with ischemic stroke risk factors. Our study identifies new biomarkers associated with the risk factors and pathogenesis of ischemic stroke which, to the best of our knowledge, were previously unknown. These markers may be effective in not only the diagnosis but also the prevention and management of ischemic stroke.

Development of a Sample-Preparation Workflow for Sulfopeptide Enrichment: From Target Analysis to Challenges in Shotgun Sulfoproteomics.

Protein tyrosine O-sulfation is an important post-translational modification, as it has been correlated to inflammation, virus infection, and signal pathways. Nevertheless, methods for the characterization of protein sulfation by sulfopeptide enrichment are currently limited. In this Article, two standard compounds, representative of mono- and disulfated peptides, were used to compare the enrichment capabilities of five sorbent materials: two commercial weak anion-exchange mixed-mode sorbents (Strata X-AW and Oasis WAX) and three phosphopeptide enrichment materials based on affinity chromatography to either immobilized metals (IMAC) or metal oxides, i.e., Fe3+, TiO2, or Ti4+. The sulfopeptides were analyzed by ultrahigh-performance liquid chromatography (UHPLC) multiple-reaction monitoring analysis and were stable under all the tested experimental conditions. Recoveries of the enrichment step from spiked bovine serum albumin digests were >80% for the commercial Fe-IMAC kit and the Strata X-AW sorbent. Shotgun proteomics was used on the same samples to evaluate the selectivity, calculated as the number of coenriched peptides, and it was found to be better for the Fe-IMAC kit. Therefore, the Fe-IMAC protocol was embedded in a shotgun-proteomics workflow and applied to serum spiked with the sulfopeptides before protein dephosphorylation and digestion. The recovery of the entire analytical workflow was 20%, which was compatible with previous data on TiO2 phosphopeptide enrichment. Despite the potential, no sulfopeptide was confidently identified in serum digests by conventional shotgun proteomics, probably due to very low abundance of native sulfoproteins, poor ionization efficiency of sulfopeptides in the positive mode, and lack of unambiguous sulfopeptide identification by bioinformatics software. In this context, the use of negative-ionization mode with high-resolution mass spectrometry appeared promising to improve the sensibility and allow sulfopeptide identification in complex samples.

Multiplexed Proteomic Approach for Identification of Serum Biomarkers in Hepatocellular Carcinoma Patients with Normal AFP.

Alpha fetoprotein (AFP) has been used as a serologic indicator of hepatocellular carcinoma (HCC). We aimed to identify an HCC-specific serum biomarker for diagnosis using a multiplexed proteomic technique in HCC patients with normal AFP levels. A total of 152 patients were included from Guro Hospital, Korea University. Among 267 identified proteins, 28 and 86 proteins showed at least a two-fold elevation or reduction in expression, respectively. Multiple reaction monitoring (MRM) analysis of 41 proteins revealed 10 proteins were differentially expressed in patients with liver cirrhosis and HCC patients with normal AFP. A combination of tripartite motif22 (Trim22), seprase, and bone morphogenetic protein1 had an area under receiver operating characteristic of 0.957 for HCC diagnosis. Real-time PCR and western blot analysis of the paired tumor/non-tumor liver tissue in HCC revealed a reduced expression of Trim22 in the tumor tissue. Also, serum levels of Trim22 were significantly reduced in HCC patients with normal AFP compared to those with liver cirrhosis (p = 0.032). Inhibition of Trim22 increased cellular proliferation in human hepatoma cell lines, whereas overexpression of Trim22 decreased cellular proliferation in hepatoma cell lines. In conclusion, the combination of three serum markers improved the chance of diagnosing HCC. MRM-based quantification of the serum protein in patients with normal AFP provides the potential for early diagnosis of HCC.

In Vivo Quantitative Estimation of DNA-Dependent Interaction of Sox2 and Oct4 Using BirA-Catalyzed Site-Specific Biotinylation.

Protein–protein interactions of core pluripotency transcription factors play an important role during cell reprogramming. Cell identity is controlled by a trio of transcription factors: Sox2, Oct4, and Nanog. Thus, methods that help to quantify protein–protein interactions may be useful for understanding the mechanisms of pluripotency at the molecular level. Here, a detailed protocol for the detection and quantitative analysis of in vivo protein–protein proximity of Sox2 and Oct4 using the proximity-utilizing biotinylation (PUB) method is described. The method is based on the coexpression of two proteins of interest fused to a biotin acceptor peptide (BAP)in one case and a biotin ligase enzyme (BirA) in the other. The proximity between the two proteins leads to more efficient biotinylation of the BAP, which can be either detected by Western blotting or quantified using proteomics approaches, such as a multiple reaction monitoring (MRM) analysis. Coexpression of the fusion proteins BAP-X and BirA-Y revealed strong biotinylation of the target proteins when X and Y were, alternatively, the pluripotency transcription factors Sox2 and Oct4, compared with the negative control where X or Y was green fluorescent protein (GFP), which strongly suggests that Sox2 and Oct4 come in close proximity to each other and interact.

Mass-spectrometric MRM analysis of FDA-verified proteins in the blood plasma of healthy volunteers

The proteomic composition of a biological sample serves as the most important feature of a biological object, and it allows discriminating normal and pathological conditions. Targeted mass spectrometric analysis, namely, multiple reaction monitoring (MRM) using synthetic isotopically-labeled internal standard (SIS), is the main alternative to the ELISA method for the analysis of diagnostically significant proteins. Based on the MRM results, a prototype test system has been developed; it employs the targeted mass spectrometric method for multiplex, quantitative analysis of FDA-verified proteins in whole blood plasma. Using this approach, it was possible to measure the content of 42 proteins in 31 samples in a concentration range spanning five orders of magnitude. The interindividual variability for 30 of the 42 registered proteins was less than 40%. The largest scatter was observed for haptoglobin (68%), immunoglobulin heavy constant delta IGHD (90%), angiotensin (72%), sex hormone-binding globulin SHBG (100%) and lipoprotein-(a) (136%). The obtained results on the concentration of proteins correlate with published data (Hortin et al., 2008, Clinical Chemistry, 54, 1608) with R2=0.84. The developed prototype test system based on targeted mass spectrometric analysis of proteins can be considered as an alternative to methods using monoclonal antibodies.

Targeted Host Cell Protein Quantification by LC-MRM Enables Biologics Processing and Product Characterization.

Multiple reaction monitoring (MRM) is a liquid chromatography-mass spectrometry (LC-MS) based quantification platform with high sensitivity, specificity, and throughput. It is extensively used across the pharmaceutical industry for the quantitative analysis of therapeutic molecules. The potential of MRM analysis for the quantification of specific host cell proteins (HCPs) in bioprocess, however, has yet to be well established. In this work, we introduce a multiplex LC-MRM assay that simultaneously monitors two high risk lipases known to impact biologics product quality, Phospholipase B-like 2 protein (PLBL2) and Group XV lysosomal phospholipase A2 (LPLA2). Quantitative data generated from the LC-MRM assay were used to monitor the clearance of these lipases during biologics process development. The method is linear over a dynamic range of 1 to 500 ng/mg. To demonstrate the fitness for use and robustness of this assay, we evaluate a comprehensive method qualification package that includes intra- and inter-run precision and accuracy across all evaluated concentrations, selectivity, recovery and matrix effect, dilution linearity, and carryover. Additionally, we illustrate that this assay provides a rapid and accurate means of monitoring high risk HCP clearance for in-process support and can actively guide process improvement and optimization. Lastly, we compare direct digestion platforms and affinity depletion platforms to demonstrate the impact of HCP-mAb interaction on lipase quantification.

Proteomic investigation on bio-corona of Au, Ag and Fe nanoparticles for the discovery of triple negative breast cancer serum protein biomarkers

Nowadays, there are no targeted therapeutic modalities for triple negative breast cancer (TNBC). This disease is associated with poor prognosis and worst clinical outcome because of the aggressive nature of the tumor, delayed diagnosis, and non-specific symptoms in the early stages. Therefore, identification of novel specific TNBC serum biomarkers for screening and therapeutic purposes remains an urgent clinical requirement.New user-friendly and cheap methods for biomarker identification are needed, and nanotechnology offers new opportunities. When dispersed in blood, nanoparticles (NPs) are covered by a protein shell termed “protein corona” (PC). While alterations in protein patterns are challeging to detect by conventional blood analyses, PC acts as a “nano-concentrator” of serum proteins with affinity for NPs’ surface. So, the characterization of PC could allow the detection of otherwise undetectable changes in protein concentration at an early stage of the disease or after chemotherapy or surgery.To explore this research idea, serum samples from 8 triple negative breast cancer (TNBC) patients and 8 patients without malignancy were allowed to interact with gold nanoparticles (AuNPs: 10.02 ± 0.91 nm), silver nanoparticles (AgNPs: 9.73 ± 1.70 nm) and magnetic nanoparticles (MNPs: (9.30 ± 0.67 nm). Here, in order to identify biomarker candidates in serum of TNBC patients, these nanomaterials were combined with electrophoretic separation (SDS-PAGE) to performed qualitative and quantitative comparisons of the serum proteomes of TNBC patients (n = 8) and healthy controls (n = 8) by liquid chromatography tandem-mass spectrometry (LC-MS/MS) analysis. The results were validated through a sequential window acquisition of all theoretical mass spectra (SWATH) analysis, performed in total serum samples (patients and controls) using this approach as a multiple reaction monitoring (MRM) analysis. SignificanceIt is well known that several proteins presented in human serum are important biomarkers for the diagnosis or prognosis of different diseases, as triple negative breast cancer (TNBC). Determining how nanomaterials as gold nanoparticles (AuNPs: 10.02 ± 0.91 nm), silver nanoparticles (AgNPs: 9.73 ± 1.70 nm) and magnetic nanoparticles (MNPs: (9.30 ± 0.67 nm) interact with human serum will assist not only in understanding their effects on the biological system (biocompability and toxicity), but also to obtain information for developing novel nanomaterials with high specificity and selectivity towards proteins with an important biological function (prognostic and diagnostic protein biomarkers).

Proteomics Approach for the Discovery of Rheumatoid Arthritis Biomarkers Using Mass Spectrometry.

Rheumatoid arthritis is an autoimmune disease that causes serious functional loss in patients. Early and accurate diagnosis of rheumatoid arthritis may attenuate its severity. Despite a diagnosis guideline in the 2010 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) classification criteria for rheumatoid arthritis, the practical difficulties in its diagnosis highlight the need of developing new methods for diagnosing rheumatoid arthritis. The current study aimed to identify rheumatoid arthritis diagnostic biomarkers by using a proteomics approach. Serum protein profiling was conducted using mass spectrometry, and five distinguishable biomarkers were identified therefrom. In the validation study, the five biomarkers were quantitatively verified by multiple reaction monitoring (MRM) analysis. Two proteins, namely serum amyloid A4 and vitamin D binding protein, showed high performance in distinguishing patients with rheumatoid arthritis from healthy controls. Logistic analysis was conducted to evaluate how accurately the two biomarkers distinguish patients with rheumatoid arthritis from healthy controls. The classification accuracy was 86.0% and 81.4% in patients with rheumatoid arthritis and in healthy controls, respectively. Serum amyloid A4 and vitamin D binding protein could be potential biomarkers related to the inflammatory response and joint destruction that accompany rheumatoid arthritis.

Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients.

Neurodegenerative disorders, including Alzheimer's disease (AD), are prevalent among the elderly. Small GTPases of the Ras superfamily are essential regulators of intracellular trafficking and signal transduction. In this study, we develop a targeted quantification method for small GTPase proteins, where the method involves scheduled multiple-reaction monitoring analysis and the use of synthetic stable isotope-labeled peptides as internal standards or surrogate standards. We further applied this method to examine the altered expression of small GTPase proteins in post-mortem frontal cortex tissues from AD patients with different degrees of disease severity. We were able to achieve sensitive and reproducible quantifications of 80 small GTPases in brain tissue samples from 15 patients. Our results revealed substantial up-regulations of several synaptic GTPases, i.e., RAB3A/C, RAB4A/B, and RAB27B, in tissues from patients with higher degrees of AD pathology, suggesting that aberrant synaptic trafficking may modulate the progression of AD. The method should be generally applicable for high-throughput targeted quantification of small GTPase proteins in other tissue and cellular samples.

Proteomic Profiling of Rhabdomyosarcoma-Derived Exosomes Yield Insights into Their Functional Role in Paracrine Signaling.

Exosomes are important intercellular communication vehicles, secreted into body fluids by multiple cell types, including tumor cells. They have been demonstrated to contribute to the metastatic progression of tumor cells through paracrine signaling. Tumor exosomes contain intact and functional proteins, mRNA and miRNA that may alter the cellular environment to favor tumor growth. We evaluated the protein cargo of exosomes derived from the childhood tumor rhabdomyosarcoma (RMS) and the molecular pathways they are implicated in to decipher their role in the progression of this aggressive disease. We conducted a mass spectrometry analysis of exosome content isolated from five RMS cell lines: three of embryonal RMS (ERMS) and two of alveolar RMS (ARMS) histology and verified results by multiple reaction monitoring and western blot analyses. Results revealed 161 common proteins in ERMS-derived exosomes and 122 common proteins in ARMS-derived exosomes, of which 81 proteins were common to both subtypes. Using both PANTHER gene classification and Pathway Studio software, we assessed the perturbed biological processes and altered pathways in which the exosomal proteins are involved. The 81 commonly expressed proteins included those involved in "cell-signaling," "cell-movement," and "cancer." Pathways engaging the identified proteins revealed 37 common pathways including "integrin signaling pathway," "inflammation mediated by chemokine and cytokine signaling pathway," and "angiogenesis." Finally, a comparison of exosomal proteins of RMS cells with publicly available datasets from other cancer cells revealed that 36 proteins are specific and endogenous to the RMS-exosomes. Taken together, our results reveal that RMS-derived exosomes carry a protein cargo that contributes to conserved cellular signaling networks across multiple cell lines, and we also identify RMS exosome-specific proteins that should be further evaluated as possible novel biomarkers for this tumor.

Proteomic characterization of low molecular weight allergens and putative allergen proteins in lentil (Lens culinaris) cultivars of Bangladesh

Here, we present the proteome profiling of low-molecular weight (<50 kDa) proteins of seven different lentil cultivars developed by Bangladesh Agricultural Research Institute. A total of 2873 peptides corresponding to 180 unique proteins were identified wherein >24% of them were described lentil allergens. Comparative relative quantitation showed differences in protein abundance of major allergen proteins such as Len c 1.0101, Len c 1.0102, and lipid transfer proteins (LTPs), indicating qualitative and quantitative variations in allergen proteins in lentil cultivars. In this report, for the first-time, the amino acid sequence of LTPs in lentil has been confirmed by high resolution mass spectrometry. In addition, ideal peptides of Len c 1.0101, Len c 1.0102, and LTPs allergens were further determined with multiple reaction monitoring (MRM) analysis. Therefore, this data could provide a great resource for further development of targeted, proteomics-based assays for quantification of lentil allergens.

Quantitative proteomic analysis of human corneal epithelial cells infected with HSV-1

HSV-1 infection in corneal epithelium initiates the process of herpes simplex keratitis. We investigated the dynamic change of the host proteins in corneal epithelial cells infected with HSV-1 to understand the virus-host interaction. iTRAQ coupled with LC-MS/MS was applied to quantitatively analyze the protein profiles in HSV-1 infected corneal epithelial cells at 6 and 24 h post-infection (hpi), and the results were validated by multiple reaction monitoring (MRM). We also performed bioinformatic analysis to investigate the potentially important signal pathways and protein interaction networks in the host response to HSV-1 infection. We identified 292 proteins were up-regulated and 168 proteins were down-regulated at 6 hpi, while 132 proteins were up-regulated and 89 proteins were down-regulated at 24 hpi, which were validated by MRM analysis. We found the most enriched GO terms were translational initiation, cytosol, poly(A) RNA binding, mRNA splicing via spliceosome and extracellular exosome for the dysregulated proteins. KEGG pathway analysis revealed significant changes in metabolism pathway characterized by decreased tricarboxylic acid cycle activity and increased glycolysis. Proteins interaction network analysis indicated several proteins including P4HB, ACLY, HSP90AA1 and EIF4A3, might be critical proteins in the host-virus response. Our study for the first time analyzed the protein profile of HSV-1 infected primary corneal epithelial cells by quantitative proteomics. These findings help to better understand the host-virus interaction and the pathogenesis of herpes simplex keratitis.

Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification.

Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers associated with various diseases. The present study, to the best of the authors' knowledge, is the first to examine the urinary proteome using the isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify potential diagnostic biomarkers of MI. The urinary proteome was analyzed within 12 h following the first symptoms of early-onset MI and at day 7 following percutaneous coronary intervention via iTRAQ labeling and two-dimensional liquid chromatography-tandem mass spectrometry. Candidate biomarkers were validated by multiple reaction monitoring (MRM) analysis. A total of 233 urinary proteins were differentially expressed. Gene enrichment analysis identified that the urinary proteome in patients with MI was associated with atherosclerosis, abnormal coagulation and abnormal cell metabolism. In total, 12 differentially expressed urinary proteins were validated by MRM analysis, five of which were associated with MI for the first time in the present study. Binary logistic regression analysis suggested that the combination of five urinary proteins (antithrombin-III, complement C3, α-1-acid glycoprotein 1, serotransferrin and cathepsin Z) may be used to diagnose MI with 94% sensitivity and 93% specificity. In addition, the protein expression levels of three proteins were significantly restored to normal levels following surgical treatment. The verified candidate biomarkers may be used for the diagnosis of MI, and for monitoring the disease status and the effects of treatments for MI. The present results may facilitate future clinical applications of the urinary proteome to diagnose MI.

Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics.

Coronary artery disease (CAD) is a manifestation of systemic atherosclerotic disease. It is assessed by intervention or traditional scoring risk factors. Diagnosis is limited by inaccurate and invasive methods. Developing noninvasive methods to screen for the risk of CAD is a major challenge. We aimed to identify urinary proteins associated with CAD. We utilized iTRAQ labeling followed by 2D LC-MS/MS to compare the urinary proteome of CAD patients to healthy cohorts. The multiple reaction monitoring (MRM) was used to verify the differential proteins. ROC analysis based on MRM data was used to evaluate the diagnostic application. A total of 876 proteins were quantified, and 100 differential proteins were found. Functional analysis revealed that the differential proteins were mainly associated with Liver X Receptor/Retinoid X Receptor (LXR/RXR) pathway activation, atherosclerosis signaling, production of nitric oxide and reactive oxygen species, and the top upstream regulator of the differential proteins by IPA analysis indicated to the APOE. Nineteen differential proteins were verified by MRM analysis. ROC based on MRM data revealed that the combination of two proteins (APOD and TFF1) could diagnose CAD with 85% sensitivity and 99% specificity (AUC 0.95). The urinary proteome might reflect the pathophysiological changes in CAD and be used for the clinical study of CAD.

Difference in Mono-O-Glucosylation of Ras Subtype GTPases Between Toxin A and Toxin B From Clostridioides difficile Strain 10463 and Lethal Toxin From Clostridium sordellii Strain 6018.

Clostridioides difficile toxin A (TcdA) and Toxin B (TcdB) trigger inflammasome activation with caspase-1 activation in cultured cells, which in turn induce the release of IL-6, IFN-γ, and IL-8. Release of these proinflammatory responses is positively regulated by Ras-GTPases, which leads to the hypothesis that Ras glucosylation by glucosylating toxins results in (at least) reduced proinflammatory responses. Against this background, data on toxin-catalyzed Ras glucosylation are required to estimate of pro-inflammatory effect of the glucosylating toxins. In this study, a quantitative evaluation of the GTPase substrate profiles glucosylated in human colonic (Caco-2) cells treated with either TcdA, TcdB, or the related Clostridium sordellii lethal toxin (TcsL) was performed using multiple reaction monitoring (MRM) mass spectrometry. (H/K/N)Ras are presented to be glucosylated by TcsL and TcdA but by neither TcdB isoform tested. Furthermore, the glucosylation of (H/K/N)Ras was detected in TcdA-(not TcdB)-treated cells, as analyzed exploiting immunoblot analysis using the Ras glucosylation-sensitive 27H5 antibody. Furthermore, [14C]glucosylation of substrate GTPase was found to be increased in a cell-free system complemented with Caco-2 lysates. Under these conditions, (H/K/N)Ras glucosylation by TcdA was detected. In contrast, TcdB-catalyzed (H/K/N)Ras glucosylation was detected by neither MRM analysis, immunoblot analysis nor [14C]glucosylation in a cell-free system. The observation that TcdA (not TcdB) glucosylates Ras subtype GTPases correlates with the fact that TcdB (not TcdA) is primarily responsible for inflammatory responses in CDI. Finally, TcsL more efficaciously glucosylated Ras subtype GTPase as compared with TcdA, reinforcing the paradigm that TcsL is the prototype of a Ras glucosylating toxin.

Accumulation and Subcellular Localization of Acteoside in Sesame Plants (Sesamum indicumL.)

The localization of acteoside and its precursors in different organs of sesame plant (Sesamum indicum L.), including roots, stems (epidermis, cortex, and stele), leaves (blades and petioles), flower petals, and seeds (immature and mature) was investigated. The highest acteoside content was found in leaf blades (12.3% dry weight), followed by in petioles (3.1%) and petals (2.7%) and at a trace levels or not detected in other organs. In contrast, the known precursors of acteoside, cinnamate, p-coumarate, caffeate, tyramine, tyrosol, salidroside, l-3,4-dihydroxyphenylalanine, dopamine, and hydroxytyrosol were not detected in any organs, even by multiple-reaction monitoring analysis by liquid chromatography–electrospray ionization tandem mass spectrometry, despite acteoside being present at high levels in the leaves. The leaves stained with diphenylborinic acid 2-aminoethyl ester (DPBA), producing the acteoside–DPBA complex that was detected by fluorescence at an excitation wavelength of 365 nm, showed accumu...

Using ambient mass spectrometry and LC–MS/MS for the rapid detection and identification of multiple illicit street drugs

In this study the recently developed technique of thermal desorption electrospray ionization/mass spectrometry (TD–ESI/MS) was applied to the rapid analysis of multiple controlled substances. With the reallocation of mass spectral resources [from a standard ESI source coupled with liquid chromatography (LC) to an ambient TD–ESI source], this direct-analysis technique allows the identification of a wider range of illicit drugs through a dual-working mode (pretreatment-free qualitative screening/conventional quantitative confirmation). Through 60-MRM (multiple reaction monitoring) analysis—in which the MS/MS process was programmed to sequentially scan 60 precursor ion/product ion transitions and, thereby, identify 30 compounds (two precursor/product ion transitions per compound)—of a four-component (drug) standard, the signal intensity ratios of each drug transition were comparable with those obtained through 8-MRM analysis, demonstrating the selectivity of TD–ESI/MS for the detection of multiple drugs. The consecutive analyses of tablets containing different active components occurred with no cross-contamination or interference from sample to sample, demonstrating the reliability of the TD–ESI/MS technique for rapid sampling (two samples min−1). The active ingredients in seized drug materials could be detected even when they represented less than 2 mg g−1 of the total sample weight, demonstrating the sensitivity of TD–ESI/MS. Combining the ability to rapidly identify multiple drugs with the “plug-and-play” design of the interchangeable ion source, TD–ESI/MS has great potential for use as a pretreatment-free qualitative screening tool for laboratories currently using LC–MS/MS techniques to analyze illicit drugs.