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PubMed2007

Monitoring diet effects via biofluids and their implications for metabolomics studies.

The effect of diet on metabolites found in rat urine samples has been investigated using nuclear magnetic resonance (NMR) and a new ambient ionization mass spectrometry experiment, extractive electrospray ionization mass spectrometry (EESI-MS). Urine samples from rats with three different dietary regimens were readily distinguished using multivariate statistical analysis on metabolites detected by NMR and MS. To observe the effect of diet on metabolic pathways, metabolites related to specific pathways were also investigated using multivariate statistical analysis. Discrimination is increased by making observations on restricted compound sets. Changes in diet at 24-h intervals led to predictable changes in the spectral data. Principal component analysis was used to separate the rats into groups according to their different dietary regimens using the full NMR, EESI-MS data or restricted sets of peaks in the mass spectra corresponding only to metabolites found in the urea cycle and metabolism of amino groups pathway. By contrast, multivariate analysis of variance from the score plots showed that metabolites of purine metabolism obscure the classification relative to the full metabolite set. These results suggest that it may be possible to reduce the number of statistical variables used by monitoring the biochemical variability of particular pathways. It should also be possible by this procedure to reduce the effect of diet in the biofluid samples for such purposes as disease detection.

Alloxan↗
PubMed2000

Chemometric models for toxicity classification based on NMR spectra of biofluids.

1H NMR spectroscopic and pattern recognition (PR)-based methods were used to investigate the biochemical variability in urine obtained from control rats and from rats treated with a hydrazine (a model hepatotoxin) or HgCl(2) (a model renal cortical toxin). The 600 MHz (1)H NMR spectra of urine samples obtained from vehicle- or toxin-treated Han-Wistar (HW) and Sprague-Dawley (SD) rats were acquired, and principal components analysis (PCA) and soft independent modeling of class analogy (SIMCA) analysis were used to investigate the (1)H NMR spectral data. Variation and strain differences in the biochemical composition of control urine samples were assessed. Control urine (1)H NMR spectra obtained from the two rat strains appeared visually similar. However, chemometric analysis of the control urine spectra indicated that HW rat urine contained relatively higher concentrations of lactate, acetate, and taurine and lower concentrations of hippurate than SD rat urine. Having established the extent of biochemical variation in the two populations of control rats, PCA was used to evaluate the metabolic effects of hydrazine and HgCl(2) toxicity. Urinary biomarkers of each class of toxicity were elucidated from the PC loadings and included organic acids, amino acids, and sugars in the case of mercury, while levels of taurine, beta-alanine, creatine, and 2-aminoadipate were elevated after hydrazine treatment. SIMCA analysis of the data was used to build predictive models (from a training set of 416 samples) for the classification of toxicity type and strain of rat, and the models were tested using an independent set of urine samples (n = 124). Using models constructed from the first three PCs, 98% of the test samples were correctly classified as originating from control, hydrazine-treated, or HgCl(2)-treated rats. Furthermore, this method was sensitive enough to predict the correct strain of the control samples for 79% of the data, based upon the class of best fit. Incorporation of these chemometric methods into automated NMR-based metabonomics analysis will enable on-line toxicological assessment of biofluids and will provide a tool for probing the mechanistic basis of organ toxicity.

Animals↗
PubMed2002

Application of orthogonal signal correction to minimise the effects of physical and biological variation in high resolution 1H NMR spectra of biofluids.

1H nuclear magnetic resonance (NMR)-based metabonomics is a well-established technique used to analyse and interpret complex multiparametric metabolic data, and has a wide number of applications in the development of pharmaceuticals. However, interpretation of biological data can be confounded by extraneous variation in the data such as fluctuations in either experimental conditions or in physiological status. Here we have shown the novel application of a data filtering method, orthogonal signal correction (OSC), to biofluid NMR data to minimise the influence of inter- and intra-spectrometer variation during data acquisition, and also to minimise innate physiological variation. The removal of orthogonal variation exposed features of interest in the NMR data and facilitated interpretation of the derived multivariate models. Furthermore, analysis of the orthogonal variation provided an explanation of the systematic analytical/biological changes responsible for confounding the original NMR data.

Blood Chemical Analysis↗
PubMed2005

Chemometric analysis of biofluids following toxicant induced hepatotoxicity: a metabonomic approach to distinguish the effects of 1-naphthylisothiocyanate from its products.

Metabonomics using high-resolution 1H-NMR spectroscopy of biofluids and pattern recognition is highly successful at distinguishing both organ- and sub-organ-specific toxicity. In the current study, this technique was investigated to distinguish the different biological effects caused by 1-naphthylisothiocyanate (ANIT)-induced hepatotoxicity in the rat from that induced by exposure to 1-naphthylisocyanate (NI) and 1-naphthylamine (NA), two products of the metabolism of ANIT. While all three toxicants produced perturbations in similar urinary metabolites, principal components analysis of the temporal progression identified that the rapid initial glycosuria associated with ANIT toxicity was also present with NI but not NA dosing. However, longer-term perturbations in the urinary excretion of succinate, lactate and acetate were common to all three toxicants. The metabolic effects of the three compounds were also followed in blood plasma and liver tissue. Of the three toxicants, the most marked perturbations were induced by ANIT exposure, then NI, thereby indicating the effects of ANIT, NI and NA toxicity were distinct, with ANIT being the most, and NA the least, toxic of the three compounds. This indicates that metabonomics may be useful for following severity and mechanisms of toxicity in a series of related compounds during drug development.

1-Naphthylamine↗
PubMed2005

Precision assessment of biofluid viscosity measurements using molecular rotors.

Blood viscosity changes with many pathologic conditions, but its importance has not been fully investigated because the current methods of measurement are poorly suited for clinical applications. The use of viscosity-sensitive fluorescent molecular rotors to determine fluid viscosity in a nonmechanical manner has been investigated recently, but it is unknown how the precision of the fluorescence-based method compares to established mechanical viscometry. Human blood plasma viscosity was modulated with high-viscosity plasma expanders, dextran, pentastarch, and hetastarch. The samples were divided into a calibration and a test set. The relationship between fluorescence emission and viscosity was established using the calibration set. Viscosity of the test set was determined by fluorescence and by cone-and-plate viscometer, and the precision of both methods compared. Molecular rotor fluorescence intensity showed a power law relationship with solution viscosity. Mechanical measurements deviated from the theoretical viscosity value by less than 7.6%, while fluorescence-based measurements deviated by less than 6%. The average coefficient of variation was 6.9% (mechanical measurement) and 3.4% to 3.8% (fluorescence-based measurement, depending on the molecular rotor used). Fluorescence-based viscometry exhibits comparable precision to mechanical viscometry. Fluorescence viscometry does not apply shear and is therefore more practical for biofluids which have apparent non-Newtonian properties. In addition, fluorescence instrumentation makes very fast serial measurements possible, thus promising new areas of application in laboratory and clinical settings.

Blood Chemical Analysis↗
PubMedDate not supplied

Analysis of biofluids in aqueous environment based on mid-infrared spectroscopy.

In this study we describe a semiautomatic Fourier transform infrared spectroscopic methodology for the analysis of liquid serum samples, which combines simple sample introduction with high sample throughput. The applicability of this new infrared technology to the analysis of liquid serum samples from a cohort of cattle naturally infected with bovine spongiform encephalopathy and from controls was explored in comparison to the conventional approach based on transmission infrared spectroscopy of dried serum films. Artifical neural network analysis of the infrared data was performed to differentiate between bovine spongiform encephalopathy-negative controls and animals in the late stage of the disease. After training of artifical neural network classifiers, infrared spectra of sera from an independent external validation data set were analyzed. In this way, sensitivities between 90 and 96% and specificities between 84 and 92% were achieved, respectively, depending upon the strategy of data collection and data analysis. Based on these results, the advantages and limitations of the liquid sample technique and the dried film approach for routine analysis of biofluids are discussed.

Algorithms↗
PubMed2026

Integrated landscape of salivary metagenome and multi-biofluid metabolome characterizes a microbial-metabolic axis in upper gastrointestinal cancer progression.

BACKGROUND: Upper gastrointestinal cancer (UGIC) imposes a major global health burden, yet the stage-specific molecular changes along the microbial-metabolic axis remain limited understood. We aimed to delineate this molecular landscape across UGIC progression and evaluate its potential as non-invasive methods for precision screening. RESULTS: Derived from a multi-center population-based UGIC screening program, we enrolled 420 individuals, stratified into normal, low-grade intraepithelial neoplasia (LGIN), high-grade intraepithelial neoplasia (HGIN), and UGIC (n = 105 per group). Integrated salivary metagenomics and paired salivary/plasma metabolomics were performed to capture local and systemic dysregulation. We uncovered distinct stage-specific divergence during UGIC progression: profound remodeling of the salivary microbiota (104 differential species) and salivary metabolomics (80 differential metabolites) initiated early at the LGIN stage, whereas plasma metabolic dysregulation (40 differential metabolites) peaked significantly later at the HGIN stage. Integrative analysis revealed salivary microbiota related more closely with salivary metabolome than plasma metabolome. Moreover, statistical evidence suggested that dysbiotic salivary microbiota was associated with altered lysine- and tryptophan-related catabolic pathways converging on Acetyl-CoA-related metabolic nodes, supporting a potential metabolic mechanism in precancerous lesions. Finally, the discriminative model integrating metagenomic and metabolomic markers demonstrated promising diagnostic performance in distinguishing these precancerous lesions (LGIN: area under the curve [AUC] = 0.83; HGIN: AUC = 0.77) and UGIC (AUC = 0.76) from normal. CONCLUSION: This study characterizes a stage-specific microbial-metabolic axis that facilitates the comprehensive understanding of UGIC pathogenesis. These multi-biofluid signatures offer a promising non-invasive triage strategy for detecting precancerous lesions and optimizing endoscopic resource allocation. Video Abstract.

Female↗
PubMed1984

Towards a unified model of elasto-thixotropy of biofluids.

Biofluids as concentrated suspensions exibit (at fixed shear rate gamma) a steady shear viscosity eta which critically depends on (i) the volume fraction of particles phi, and (ii) the ability the particles have to form more or less loose structural units (flocs, aggregates or parts of network). The latter can be quantified by some effective packing volume fraction phi p which reflects the actual compacity of structural units. A special eta-phi relationships which involves such a packing fraction will be discussed. Changes of structural units as shear rate gamma (or shear stress sigma) varies lead to phi p = phi p (gamma) i.e. to non-newtonian viscosity. This shear-thinning behaviour is believed to result from some dynamical equilibrium between formation and destruction of structural units, in the presence of both brownian motions of particles and the shear stresses the suspending fluid exerts on them. A (simple) rate equation (from reaction kinetics) gives a quantitative description of phi p-dependences in gamma and time t. Under steady conditions, the present approach is capable not only to model shear-thinning behaviour but also plastic and shear thickening (dilatant) ones. Time variations under transient shear rate (i.e. thixotropy) can be described with phi p(t) deduced from the same rate equation. Extension to visco-elastic behaviour has been obtained using a Maxwell-model with instantaneous values of viscosity and elasticity which both are functionals of the structural variable phi p(t, gamma).

Blood Viscosity↗
PubMed1992

Biofluid dynamics at arterial bifurcations.

Hemodynamics has long been suspected of being involved in arterial diseases, e.g., atherosclerosis. Seemingly good correlation between the atherosclerosis localization and the flow disturbance around bends and bifurcations in large arteries has prompted many studies of blood flow around those regions. This article reviews and critiques biofluid studies at various arterial bifurcations. Both experimental and theoretical models vary greatly in the major assumptions and parameters. The issues discussed include: possible errors from two-dimensional models, the validity of steady flow studies, the existence and influence of the secondary flow, effects of non-Newtonian blood rheology, influences from arterial wall distensibility, effects of the Reynolds number, effects of the area ratio, effects of the Womersley number, effects of corner curvatures, effects of bifurcation angle, errors in the measurement and calculation of wall shear rate, and the possible existence of turbulence.

Animals↗
PubMed1999

The application of fast gradient capillary liquid chromatography/mass spectrometry to the analysis of pharmaceuticals in biofluids.

Fast gradient capillary high performance liquid chromatography (HPLC) coupled to a mass spectrometer has been successfully used for the analysis of pharmaceutical compounds from biological matrices, in the femtogram on column range. In the work reported in this paper, the use of capillary HPLC, on the 180-micron internal diameter scale, has shown a 30-fold improvement in detection limits when compared to conventional 2-mm scale chromatography. The use of fast gradient elution resulted in a generic methodology which gave excellent chromatographic reproducibility and column longevity. This technique has been used in conjunction with simple protein precipitation, with no deleterious effect on either the column life or the chromatographic performance. The use of capillary HPLC in bioanalysis has the potential to give a significant increase in assay sensitivity with the equipment currently in use. In this paper the authors also present a modification to the current PE-Sciex ion-spray source which allows excellent spray adjustment in three dimensional accessibility, which is important when working with low flow rates, as well as reducing the inherent system dead volume.

Body Fluids↗
PubMed1998

A 1H/13C inverse 2D method for the analysis of the polyamines putrescine, spermidine and spermine in cell extracts and biofluids.

The polyamines putrescine, spermidine and spermine are involved in the regulation of various metabolic processes. It is therefore desirable to detect and quantify the polyamines with NMR. We present the proton and carbon assignments for all polyamine signals obtained from PCA extracts of F98 glioma cells with high resolution using a semi-selective HSQC 2D-experiment. The biosynthesis of the polyamines in cell culture was examined using the labeled substrates [U-13C]glucose and [U-13C]glutamate. In such studies the high resolution of the semi-selective HSQC experiment at very high magnetic fields (14-19 T) allows the analysis of carbon-carbon couplings, and isotopomer patterns. The different effects of osmotic stress on the concentrations of polyamines and amino acids are also reported.

Animals↗
PubMed1994

Internal temperature calibration for 1H NMR spectroscopy studies of blood plasma and other biofluids.

A method for temperature calibration of human blood plasma and cerebrospinal fluid (CSF) samples inside a high resolution NMR spectrometer is presented. This calibration is based on the temperature dependence of the chemical shift difference between the water signal and that from the H-1 proton of endogenous alpha-glucose or, in some circumstances, beta-glucose. This dependence can be fitted using a second-order polynomial equation and functions for both human blood plasma and human CSF are given. Similar graphs could easily be generated for other fluids. The blood plasma calibration appears to be accurate to +/- 0.9 K in test samples. The use of the blood plasma calibration graph has also been evaluated using the 1H NMR spectra of CSF and shown to overestimate the CSF internal temperature by ca 1.3 K. This approach should have a general applicability to blood plasma and CSF samples from normal and pathological situations or from other species, because there are unlikely to be large changes in ionic strength or pH even in disease states. Knowledge of the exact internal temperature of plasma samples is likely to be of particular importance in the investigation of lipid and lipoprotein interactions because of the significant temperature dependence of lipid and lipoprotein NMR linewidths in such samples.

Body Fluids↗
PubMed2005

NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition.

Strategies such as genomics, proteomics and metabonomics are being applied with increasing frequency in the pharmaceutical industry. For each of these approaches, toxicological response can be measured by terms of deviation from control or baseline status. However, in order to accurately define drug-induced response, it is necessary to characterize the normal degree of physiological variation in the absence of stimuli. Here, 1H NMR spectroscopic-based analyses of the metabolic composition of urine in experimental animals under various normal physiological conditions are reviewed. In particular, the effects of inter-animal and diurnal variation, gender, age, diet, species, strain, hormonal status and stress on the biochemical composition of urine are explored. Pattern recognition methods facilitate the comparison of urine NMR spectra over a given time-course, enabling the establishment of changes in profile and highlighting the dynamic metabolic status of an organism. Thus metabonomic approaches based on information-rich spectroscopic data sets can be used to evaluate normal physiological variation and for investigation of drug safety issues.

Algorithms↗
PubMed1984

An assessment of the physiological significance of cimetidine interactions with copper and zinc in biofluids as based on the computer-simulated distribution of the involved complexes at therapeutic levels of the drug.

The hypothesis was formerly put forward that the main therapeutic action of cimetidine (the histamine H2-receptor antagonist marketed as Tagamet) as well as some of its side effects might be mediated by its interactions with essential metal ions. The present paper reports the potentiometric study of the coordination of the drug with copper(II) and zinc(II) in NaCl 0.15 mol dm-3 at 37 degrees C. Special attention was paid to copper complexes, due to (i) the involvement of cimetidine in rheumatoid arthritis evolution which could be related to the well-established role of copper against this disease, (ii) the anti-ulcer and anti-inflammatory properties of copper. In particular, the copper-cimetidine-histamine and copper-cimetidine-histidine ternary systems were investigated. Computer simulations of the distribution of cimetidine, zinc and copper in blood plasma were performed at therapeutic levels of the drug. No influence can be expected from cimetidine on the bioavailability of these metal ions, the opposite being also true. The mediation of copper in the action of cimetidine on rheumatoid arthritis should thus be ruled out, the influence of the drug being rather interpretable in terms of reduction of histamine release. Similarly, the sexual dysfunctions due to cimetidine administration are unlikely to arise from the interactions of drug with zinc in blood plasma. The possible involvement of copper and zinc in cimetidine gastrointestinal absorption is also discussed.

Cimetidine↗
PubMed1995

Peristaltic transport of a biofluid in a pipe of elliptic cross section.

Peristaltic transport of two fluids occupying the peripheral layer and the core in an elliptic tube is investigated in elliptic cylindrical co-ordinate system, under long wavelength and low Reynolds number approximations. The effect of peripheral-layer viscosity on the flow rate and the frictional force for a slightly elliptic tube is discussed. The limiting results for the one-fluid model are obtained for different eccentricities of the undisturbed tube cross sections with the same area. As a result of non-uniformity of the peristaltic wave, two different amplitude ratios are defined and the time-averaged flux and mechanical efficiency are studied for different eccentricities. It is observed that the time-averaged flux is not affected significantly by the pressure drop when the eccentricity is large. For the peristaltic waves with same area variation, the pumping seems to improve with the eccentricity.

Algorithms↗
PubMed1995

Rapid determination of drugs in biofluids by capillary electrophoresis. Measurement of antipyrine in saliva for pharmacokinetic studies.

A micellar electrokinetic capillary chromatography method was developed that permitted the resolution of antipyrine from endogenous compounds and its quantitation in neat saliva in as little as 1 min. Final conditions were: SpectraPhoresis 1000, 30(23) cm x 50 microns silica capillary, 50 mM sodium phosphate pH 9.6, 50 mM SDS, 10 s hydrodynamic load, detection scanning 200-300 nm or 260 nm, run 25 kV. To overcome the effects of Joule heating the capillary was cooled to 15 degrees C. Sensitivity was < 10 microM and linearity extended to 350 microM. Comparison with an HPLC assay demonstrated that hydrodynamic injection gave a loading bias unless samples and standards were of equal viscosity. For 75 samples from five subjects the correlation of CE vs. HPLC was then r = 0.99.

Antipyrine↗