Background. A functional interplay between BAs and microbial composition in gut is a well-documented phenomenon. In bile, this phenomenon is far less studied, and with this report, we describe the ...interactions between the BAs and microbiota in this complex biological matrix. Methodology. Thirty-seven gallstone disease patients of which twenty-one with Opisthorchis felineus infection were enrolled in the study. The bile samples were obtained during laparoscopic cholecystectomy for gallstone disease operative treatment. Common bile acid composition was measured by LC-MS/MS. Gallbladder microbiota were previously analyzed with 16S rRNA gene sequencing on Illumina MiSeq platform. The associations between bile acid composition and microbiota were analyzed. Results. Bile acid signature and Opisthorchis felineus infection status exert influence on beta-diversity of bile microbial community. Direct correlations were found between taurocholic acid, taurochenodeoxycholic acid concentrations, and alpha-diversity of bile microbiota. Taurocholic acid and taurochenodeoxycholic acid both show positive associations with the presence of Chitinophagaceae family, Microbacterium and Lutibacterium genera, and Prevotella intermedia. Also, direct associations were identified for taurocholic acid concentration and the presence of Actinomycetales and Bacteroidales orders, Lautropia genus, Jeotgalicoccus psychrophilus, and Haemophilus parainfluenzae as well as for taurochenodeoxycholic acid and Acetobacteraceae family and Sphingomonas genus. There were no differences in bile acid concentrations between O. felineus-infected and noninfected patients. Conclusions/Significance. Associations between diversity, taxonomic profile of bile microbiota, and bile acid levels were evidenced in patients with cholelithiasis. Increase of taurochenodeoxycholic acid and taurocholic acid concentration correlates with bile microbiota alpha-diversity and appearance of opportunistic pathogens.
Capillary electrophoresis-mass spectrometry (CE-MS) is a powerful technique for the analysis of small soluble compounds in biological fluids. A major drawback of CE is the poor migration time ...reproducibility, which makes it difficult to combine data from different experiments and correctly assign compounds. A number of alignment algorithms have been developed but not all of them can cope with large and irregular time shifts between CE-MS runs. Here we present a genetic algorithm designed for alignment of CE-MS data using accurate mass information. The utility of the algorithm was demonstrated on real data, and the results were compared with one of the existing packages. The new algorithm showed a significant reduction of elution time variation in the aligned datasets. The importance of mass accuracy for the performance of the algorithm was also demonstrated by comparing alignments of datasets from a standard time-of-flight (TOF) instrument with those from the new ultrahigh resolution TOF maXis (Bruker Daltonics).
Urinary tract infection (UTI) is among the most common bacterial infections worldwide. The understanding of the physiological mechanisms affected by UTI may need modern integrative '-omics' ...technologies, and metabolomics in particular. Here we present the first GC-APCI-MS-based explorative metabolomics study of UTI, using MS and FID detectors simultaneously. This provides high quality mass spectral data as well as semi-quantitative information demonstrating the feasibility of the GC-APCI-MS platform for non-targeted approaches. The work is part of a bigger project aiming at providing a comprehensive overview of UTI-induced changes in urine. Taking advantage of a fully clinically characterized cohort that offers the possibility of both case-control and longitudinal modelling, we can define UTI-induced change as a list of urinary metabolites which distinguish
E. coli
UTI patients from the subjects with no signs of an active infection. The list of molecular descriptors includes compounds related to bacterial activity such as lactic acid and lactose while other molecules show an association with the physiological status (inositol, citric acid).
This study shows the first application of GC-APCI-MS in a clinical setting specifically in the context of urinary tract infection.
We have developed an analytical method using UHPLC-UV/ESI-TOF MS for the comprehensive profiling of the metabolites found in the methanolic extracts of 13 different varieties of avocado at two ...different ripening degrees. Both chromatographic and detection parameters were optimized in order to maximize the number of compounds detected and the sensitivity. After achieving the optimum conditions, we performed a complete analytical validation of the method with respect to its linearity, sensitivity, precision, accuracy and possible matrix effects. The LODs ranged from 1.64 to 730.54
ppb (in negative polarity) for benzoic acid and chrysin, respectively, whilst they were found within the range from 0.51 to 310.23
ppb in positive polarity. The RSDs for repeatability test did not exceed 7.01% and the accuracy ranged from 97.2% to 102.0%. Our method was then applied to the analysis of real avocado samples and advanced data processing and multivariate statistical analysis (PCA, PLS-DA) were carried out to discriminate/classify the examined avocado varieties. About 200 compounds belonging to various structural classes were tentatively identified; we are certain about the identity of around 60 compounds, 20 of which have been quantified in terms of their own commercially available standard.
Analysis of amino acid profiles in urine and plasma is an essential part of modern clinical diagnostic routine. Here we present an approach for the analysis of amino acids in urine by capillary ...electrophoresis/time-of-flight (TOF) mass spectrometry. At first a method combining improved separation, high dynamic range, and high sensitivity is presented. Detection limits in the mid nM-range are achieved through the use of pH-mediated stacking injection in combination with modern TOF detection technology. The method can be easily applied to detect differences in the amino acid profile in urine in a clinical context. Moreover, beside amino acids low molecular weight amines, peptides and related metabolites can be profiled. As a proof of concept, urine samples from patients suffering from osteoarthritis have been analyzed. Finally, the introduction of multivariate data analysis in the work flow was evaluated on spiked urine samples and real clinical material.
Here, we present the application of a cross-platform approach, combining rapid direct infusion high-resolution/accurate mass electrospray ionization Fourier transform ion-cyclotron mass spectrometry ...(ESI-FTICRMS) with in-depth data-dependent LC-MS(2) and LC-MS(3) analysis for lipid profiling. The analytical approach as well as the subsequent data handling is described. The method was applied to human synovial fluid samples from osteo- and rheumatoid arthritis patients. Multivariate statistical analysis revealed esterified oxylipids as molecular features in a subset of the patient samples. Employing LC-MS(2) and LC-MS(3) analysis of these species, we were able to clarify the hypothesized lipid structures initially based on the accurate mass measurements performed on the ESI-FTICRMS platform. LC-MS(3) analysis of intact esterified oxy-lipids and LC-MS(2) analysis of the hydrolysis products allowed for the detection of positional isomers. The approach led to the structural elucidation of hydroxylated docosapentaenoic acid-containing diacyl-phosphatidylcholine type phospholipids in human synovial fluid.
Migraine is a common brain disorder characterized by recurrent attacks of severe headaches and other neurological symptoms. In one-third of patients headaches are accompanied by auras, which consist ...of transient visual and sensory disturbances, believed to be caused by cortical spreading depression (CSD). CSD is characterized by a wave of neuronal and glial depolarization with concomitant changes in metabolite concentrations in the brain and cerebrospinal fluid. It remains unknown whether CSD-induced brain metabolic changes can be captured outside the central nervous system,
i.e.
, in peripheral fluids. This study investigated plasma metabolic changes in transgenic mice that harbor a gene mutation in voltage-gated Ca
V
2.1 Ca
2+
channels previously identified in patients with familial hemiplegic migraine, a subtype of migraine with auras. The use of a mouse model allows investigation of molecular changes occurring shortly after CSD, which is notoriously difficult in patients. Capillary electrophoresis - mass spectrometry was used for the analysis of plasma samples to obtain, for the first time, a comprehensive view of molecular changes immediately after experimentally induced CSD. Multivariate data analysis showed a clear distinction between profiles of transgenic and wild-type animals after CSD. Two metabolites considered important for this discrimination were tentatively identified as being lysine and its by-product pipecolic acid with additional evidence provided by hydrophilic interaction chromatography combined with tandem mass spectrometry. The changed metabolites suggest a compensatory increase in GABAergic neurotransmission upon enhanced excitatory neurotransmission. These results show that CSD induces metabolic remodeling in transgenic migraine mice that can be captured and measured in plasma.
Cortical spreading depression-induced brain metabolic changes have been captured in the plasma of a transgenic migraine mouse model using CE-MS.
Here, we present the application of a cross-platform approach, combining rapid direct infusion high-resolution/accurate mass electrospray ionization Fourier transform ion-cyclotron mass spectrometry ...(ESI-FTICRMS) with in-depth data-dependent LC-MS... and LC-MS... analysis for lipid profiling. The analytical approach as well as the subsequent data handling is described. The method was applied to human synovial fluid samples from osteo- and rheumatoid arthritis patients. Multivariate statistical analysis revealed esterified oxylipids as molecular features in a subset of the patient samples. Employing LC-MS... and LC-MS... analysis of these species, we were able to clarify the hypothesized lipid structures initially based on the accurate mass measurements performed on the ESI-FTICRMS platform. LC-MS... analysis of intact esterified oxy-lipids and LC-MS... analysis of the hydrolysis products allowed for the detection of positional isomers. The approach led to the structural elucidation of hydroxylated docosapentaenoic acid-containing diacyl-phosphatidylcholine type phospholipids in human synovial fluid. (ProQuest: ... denotes formulae/symbols omitted.)
Here, we present the application of a cross-platform approach, combining rapid direct infusion high-resolution/accurate mass electrospray ionization Fourier transform ion-cyclotron mass spectrometry ...(ESI-FTICRMS) with in-depth data-dependent LC-MS... and LC-MS... analysis for lipid profiling. The analytical approach as well as the subsequent data handling is described. The method was applied to human synovial fluid samples from osteo- and rheumatoid arthritis patients. Multivariate statistical analysis revealed esterified oxylipids as molecular features in a subset of the patient samples. Employing LC-MS... and LC-MS... analysis of these species, we were able to clarify the hypothesized lipid structures initially based on the accurate mass measurements performed on the ESI-FTICRMS platform. LC-MS... analysis of intact esterified oxy-lipids and LC-MS... analysis of the hydrolysis products allowed for the detection of positional isomers. The approach led to the structural elucidation of hydroxylated docosapentaenoic acid-containing diacyl-phosphatidylcholine type phospholipids in human synovial fluid. (ProQuest: ... denotes formulae/symbols omitted.)