Psoralen and ultraviolet A light treatment directly affects phosphatidylinositol 3-kinase signal transduction by altering plasma membrane packing

Psoralen and ultraviolet A light (PUNTA) are used to kill pathogens in blood products and as a treatment of aberrant cell proliferation in dermatitis, cutaneous T-cell lymphoma, and graft versus-host disease. DNA damage is well described, but the direct effects of PUVA on cell signal transduction are poorly understood. Because platelets are anucleate and contain archetypal signal transduction machinery, they are ideally suited to address this. Lipidomics on platelet membrane extracts showed that psoralen forms adducts with unsaturated carbon bonds of fatty acyls in all major phospholipid classes after PUVA. Such adducts increased lipid packing as measured by a blue shift of an environment-sensitive fluorescent probe in model liposomes. Furthermore, the interaction of these liposomes with lipid order-sensitive proteins like amphipathic lipid-packing sensor and a-synuclein was inhibited by PUVA. In platelets, PUVA caused poor membrane binding of Akt and Bruton's tyrosine kinase effectors following activation of the collagen glycoprotein VI and thrombin protease-activated receptor (PAR) 1. This resulted in defective Akt phosphorylation despite unaltered phosphatidylinositol 3,4,5-trisphosphate levels. Downstream integrin activation was furthermore affected similarly by PUVA following PAR1 (effective half-maximal concentration (EC), 8.4 +/- 1.1 versus 4.3 +/- 1.1 mu M) and glycoprotein VI (EC50, 1.61 +/- 0.85 versus 0.26 +/- 0.21 mu g/ml) but not PAR4 (EC50, 50 +/- 1 versus 58 +/- 1 mu m) signal transduction. Our findings were confirmed in T-cells ftom graft-versus-host disease patients treated with extracorporeal photopheresis, a form of systemic PUVA. In conclusion, PUVA increases the order of lipid phases by covalent modification of phospholipids, thereby inhibiting membrane recruitment of effector kinases

2-Methyl-pentanoyl-carnitine (2-MPC) : a urine biomarker for patent Ascaris lumbricoides infection

Infections with intestinal worms, such as Ascaris lumbricoides, affect hundreds of millions of people in all tropical and subtropical regions of the world. Through large-scale deworming programs, World Health Organization aims to reduce moderate-to-heavy intensity infections below 1%. Current diagnosis and monitoring of these control programs are solely based on the detection of worm eggs in stool. Here we describe how metabolome analysis was used to identify the A. lumbricoides-specific urine biomarker 2-methyl pentanoyl carnitine (2-MPC). This biomarker was found to be 85.7% accurate in determining infection and 90.5% accurate in determining a moderate-to-heavy infection. Our results also demonstrate that there is a correlation between 2-MPC levels in urine and A. lumbricoides DNA detected in stool. Furthermore, the levels of 2-MPC in urine were shown to rapidly and strongly decrease upon administration of a standard treatment (single oral dose of 400 mg albendazole). In an Ascaris suum infection model in pigs, it was found that, although 2-MPC levels were much lower compared to humans, there was a significant association between urinary 2-MPC levels and both worm counts (p=0.023) and the number of eggs per gram (epg) counts (p<0.001). This report demonstrates that urinary 2-MPC can be considered an A. lumbricoides-specific biomarker that can be used to monitor infection intensity

Metabolomics to unveil and understand phenotypic diversity between pathogen populations

Visceral leishmaniasis is caused by a parasite called Leishmania donovani, which every year infects about half a million people and claims several thousand lives. Existing treatments are now becoming less effective due to the emergence of drug resistance. Improving our understanding of the mechanisms used by the parasite to adapt to drugs and achieve resistance is crucial for developing future treatment strategies. Unfortunately, the biological mechanism whereby Leishmania acquires drug resistance is poorly understood. Recent years have brought new technologies with the potential to increase greatly our understanding of drug resistance mechanisms. The latest mass spectrometry techniques allow the metabolome of parasites to be studied rapidly and in great detail. We have applied this approach to determine the metabolome of drug-sensitive and drug-resistant parasites isolated from patients with leishmaniasis. The data show that there are wholesale differences between the isolates and that the membrane composition has been drastically modified in drug-resistant parasites compared with drug-sensitive parasites. Our findings demonstrate that untargeted metabolomics has great potential to identify major metabolic differences between closely related parasite strains and thus should find many applications in distinguishing parasite phenotypes of clinical relevance

Quantitative determination of glycopyrrolate in human plasma by liquid chromatography-electrospray ionization mass spectrometry: The use of a volatile ion-pairing agent during both liquid-liquid extraction and liquid chromatography

The work presented here deals with the development of a quantitative tool for the determination of the quaternary ammonium anticholinergic glycopyrrolate in human plasma samples. Mepenzolate was used as an internal standard. The plasma samples were subjected to a suitable sample clean-up consisting of a simple and relatively fast, two step liquid-liquid ion-pair extraction procedure. The chromatography. using the same volatile ion-pair reagent heptafluorobutyric acid (HFBA), takes only 10 min. Relative standard deviation of retention times was never above 2.26% (n=36). The method was fully validated based on the US FDA Bioanalytical Method Validation Guidance for Industry. As such, a quantitative ESI-LC-MS(/MS) (TOF mass spectrometry) method was optimized for the absolute quantification of glycopyrrolate in human plasma in a concentration range from 0.101 to 101 ng/mL using a quadratic calibration function (R-2 = 0.9995), y = -2.21 x 10(-4) (+/- 3.93 x 10(-5)) x chi(2) + 5.85 x 10(-2) (+/- 5.27 x 10(-3)) x x + 4.08 x 10(-3) (+/- 4.82 x 10(-4)). For the three QC concentrations (QC(1) 0.252, QC(2) 2.52, and QC(3) 25.2 ng/mL) and the LLOQ (0.101 ng/mL), total precision was under 20% (18.0% (n = 6) at the LLOQ) and maximum accuracy was 112% (88.9% for the LLOQ, n = 6). Absolute matrix effect (maximum 133% +/- 9.59, n = 3), absolute recovery (better than 41.8% +/- 2.22, n = 3), relative (inter-subject) matrix effect (maximum 10.9% +/- 1.45, n = 4) and process efficiency (better than 45.2% +/- 5.74, n = 3) too were assessed at the 3 QC concentrations

Improved analyte detectability of proteins and peptide lysates by means of multiple large-volume injection in LC-MS

A 'multiple (trapping) large-volume injection' approach was developed for the analysis of peptides and proteins. In this way, a maximally 10-fold gain in sensitivity could be achieved. The system involves the use of an automated 10-port switching valve in combination with a 1 mm i.d. trapping/guard column and a 1 mm i.d. x 150 mm analytical column. The optimized multiple injection/loading procedure allows quantitative measurements of peptides and protein lysates. Linear calibration curves (R(2) >= 0.988) over a minimum of two orders of magnitude were generated for a range of peptide and protein standards with sensitivities equal to or even exceeding, those generally achieved only through increasing miniaturization (quantification limit >= 0.5 pmol/mL)

Evaluation of hydrophilic interaction chromatography versus reversed-phase chromatography in a plant metabolomics perspective

The metabolomics goal, the unbiased relative quantification of all metabolites in a biological system, still lacks a universal analytical approach. In the LC-MS line of approach, one of the major problems encountered is the polar nature of a large group of (plant) metabolites. Here, we investigate the potential of hydrophilic interaction chromatography (HILIC) and compare its qualities with extended polarity RP chromatography. Two opposite LC phase compositions (Atlantis dC18 vs. TSKgel Amide-80) are compared in a plant metabolomics setting. Both performed equally well with regard to retentive capacities, but variation in peak area was about 5% higher for the HILIC approach. Focussing on matrix effects (ME) on the other hand, it was observed that this well-known problem in RP LC-MS metabolomics was not reduced on using hydrophilic interaction chromatography

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