Stable isotopes of minerals as metabolic tracers in human nutrition research

Enriched stable isotopes used as tracers have proven to be valuable in studies of the absorption and metabolism of minerals. Unlike radioisotopes, they can be used in high-risk population groups such as infants, children, and pregnant or lactating women. Estimates of mineral absorption can be made from the oral administration of a single tracer or from two tracers, one given orally and the other intravenously (IV). It is possible to determine the metabolism of the mineral with modeling based on the amount of the tracer or tracers in different biological samples. One of the key decisions in studies of this type is determining which enriched isotope and what amount to use. An example is given of calculations to estimate and compare the amounts of tracers needed for an absorption study. Methods for calculating the amounts of tracer in oral and IV doses are presented, and limits of detection and quantitation are discussed in terms of percent of enrichment and related to isotope ratio measurement precision. A general review of the use of mass spectrometric instruments for quantifying various stable isotopes is given.     

A State Space Transformation Can Yield Identifiable Models for Tracer Kinetic Studies with Enrichment Data

Tracer studies are analyzed almost universally by multicompartmental models where the state variables are tracer amounts or activities in the different pools. The model parameters are rate constants, defined naturally by expressing fluxes as fractions of the source pools. We consider an alternative state space with tracer enrichments or specific activities as the state variables, with the rate constants redefined by expressing fluxes as fractions of the destination pools. Although the redefinition may seem unphysiological, the commonly computed fractional synthetic rate actually expresses synthetic flux as a fraction of the product mass (destination pool). We show that, for a variety of structures, provided the structure is linear and stationary, the model in the enrichment state space has fewer parameters than that in the activities state space, and is hence better both to study identifiability and to estimate parameters. The superiority of enrichment modeling is shown for structures where activity model unidentifiability is caused by multiple exit pathways; on the other hand, with a single exit pathway but with multiple untraced entry pathways, activity modeling is shown to be superior. With the present-day emphasis on mass isotopes, the tracer in human studies is often of a precursor, labeling most or all entry pathways. It is shown that for these tracer studies, models in the activities state space are always unidentifiable when there are multiple exit pathways, even if the enrichment in every pool is observed; on the other hand, the corresponding models in the enrichment state space have fewer parameters and are more often identifiable. Our results suggest that studies with labeled precursors are modeled best with enrichments.     

Metalloprotein separation and analysis by directly coupled size exclusion high-performance liquid chromatography inductively coupled plasma mass spectroscopy

The feasibility of using directly coupled size exclusion high-performance liquid chromatography inductively coupled plasma mass spectroscopy (HPLC/ICP-MS) for the separation and subsequent elemental analysis of metalloproteins in biological samples has been studied. Data, on up to eight elements, was acquired simultaneously and the reconstructed elemental profiles from the chromatographed samples were quantified by flow injection analysis. Absolute and relative detection limits, reproducibility, operational dynamic range, and linearity of response were initially evaluated by analyzing standards of metallothionein protein of known elemental composition for Cd, Zn, and Cu. There was evidence of displacement of Zn from the protein during chromatography and the substitution of Cu sequestered from the mobile phase. Cd associated with the protein was fully recovered during chromatography. Memory effects, due to protein adsorption to the glassware in the torch box, were minimal and there was no degradation of the resolution of the chromatographed peak during extended transport through the HPLC/ICP-MS interface. The versatility of the technique has been demonstrated by the quantitative multi-element analysis of cytosolic metal-binding proteins separated from the polychaete worm Neanthes arenaceodentata. Fidelity of analysis has been demonstrated by two independent procedures: first, by comparing the elemental profiles obtained by directly aspirating the HPLC eluant into the ICP-MS to those obtained by collecting fractions and quantifying the metal content of the proteins in the conventional analytical mode; second, by comparing the stable isotopic profiles for 114Cd obtained by simultaneous ICP-MS analysis with radiometric profiles of 109Cd obtained by counting radioactivity associated with collected fractions.(ABSTRACT TRUNCATED AT 250 WORDS)     

Measurement of stable isotopic enrichment and concentration of long-chain fatty acyl-carnitines in tissue by HPLC-MS

We have developed a new method for the simultaneous measurements of stable isotopic tracer enrichments and concentrations of individual long-chain fatty acyl-carnitines in muscle tissue using ion-pairing high-performance liquid chromatography-electrospray ionization quadrupole mass spectrometry in the selected ion monitoring (SIM) mode. Long-chain fatty acyl-carnitines were extracted from frozen muscle tissue samples by acetonitrile/methanol. Baseline separation was achieved by reverse-phase HPLC in the presence of the volatile ion-pairing reagent heptafluorobutyric acid. The SIM capability of a single quadrupole mass analyzer allows further separation of the ions of interest from the sample matrixes, providing very clean total and selected ion chromatograms that can be used to calculate the stable isotopic tracer enrichment and concentration of long-chain fatty acyl-carnitines in a single analysis. The combination of these two separation techniques greatly simplifies the sample preparation procedure and increases the detection sensitivity. Applying this protocol to biological muscle samples proves it to be a very sensitive, accurate, and precise analytical tool.     

Quantitative determination of total organic nitrogen and isotope enrichment in marine phytoplankton

The automated Dumas technique described by Barsdate and Dugdale for quantitative determination of total organic nitrogen and isotope enrichment in marine phytoplankton has been refined. The method involves manometric and mass spectrometric measurements for total nitrogen and nitrogen isotopes, respectively. Expressions for calculating isotope enrichment have been derived and include temperature, background, and ion pump corrections. The latter can be a major source of error in atom-percent enrichment calculations when ion pumps are used to maintain very low background pressures in the analyzer chamber. When such systems are adopted for ¹⁵N tracer analysis, calibration curves should be established prior to analysis to assess the level of interference.     

Studying apolipoprotein turnover with stable isotope tracers: correct analysis is by modeling enrichments

Lipoprotein kinetic parameters are determined from mass spectrometry data after administering mass isotopes of amino acids, which label proteins endogenously. The standard procedure is to model the isotopic content of the labeled precursor amino acid and of proteins of interest as tracer-to-tracee ratio (TTR). It is shown here that even though the administered tracer alters amino acid mass and turnover, apolipoprotein synthesis is unaltered and hence the apolipoprotein system is in a steady state, with the total (labeled plus unlabeled) masses and fluxes remaining constant. The correct model formulation for apolipoprotein kinetics is shown to be in terms of tracer enrichment, not of TTR. The needed mathematical equations are derived. A theoretical error analysis is carried out to calculate the magnitude of error in published results using TTR modeling. It is shown that TTR modeling leads to a consistent underestimation of the fractional synthetic rate. In constant-infusion studies, the bias error percent is shown to equal approximately the plateau enrichment, generally <10%. It is shown that, in bolus studies, the underestimation error can be larger. Thus, for mass isotope studies with endogenous tracers, apolipoproteins are in a steady state and the data should be fitted by modeling enrichments.     

Preparation of CO2 from blood and protein-bound amino acid carboxyl groups for quantification and 13C-isotope measurements

Measurements of protein and amino acid metabolism in man using stable isotopes and selected ion monitoring gas chromatographic/mass spectrometric techniques are limited by the requirement of relatively high levels of labelling for adequate precision (greater than 0.05 at % excess). We describe here a means of extending the scope of such studies by measurement of lower levels of enrichment achieved in gaseous CO2 derived from whole blood or protein-bound amino acids following the administration of tracer amounts of appropriately labelled substrates. Construction and operation of a novel glass vacuum line required for this work are described in detail and specific applications relevant to clinical investigations are outlined. Measurements of both the total amount of CO2 and its 13C enrichment are performed in an isotope-ratio mass spectrometer which provides acceptable levels of accuracy and reproducibility for both measurements (+/- 0.1% and +/- 0.0001 at % excess respectively).     

Heterogeneity of brush-border-membrane vesicles from rat small intestine prepared by a precipitation method using Mg/EGTA

Brush border membrane vesicles from rat small intestine were isolated by a Mg/EGTA precipitation method. Further fractionation either by free flow electrophoresis or by sucrose density gradient centrifugation leads to subfractions which differ with respect to enzyme enrichment factors, transport properties for D-glucose and protein pattern analyzed by sodium dodecyl sulfate/polyacrylamide gel electrophoresis. A relative enrichment of (Na+ + K+)-ATPase is found in one fraction, whereas in another fraction maltase, aminopeptidase M and alkaline phosphatase are relatively enriched. The fractions show different properties of D-glucose transport under tracer exchange conditions and a different inhibition of D-glucose transport by phlorizin and phloretin. These results indicate that the vesicles obtained from rat small intestine by this cation precipitation method are not homogeneous. The inhomogeneity cannot be due to a crosscontamination by membranes other than from the cell envelopment, as none of the fractions show a significant enrichment of succinate--cytochrome c oxidoreductase, KCN-resistant NADH oxidoreductase or glucosaminidase. The inhomogeneity might be due either to a crosscontamination by basal-lateral membranes or to membranes derived from epithelial cells not yet fully differentiated.     

Mapping the cellular distribution of labelled molecules by SIMS microscopy.

We took advantage of one of the main possibilities of ion microscopy, ie isotopic analysis, to study the cellular distribution of molecules labelled either with carbon 14 or with stable isotopes of low natural abundance such as nitrogen 15 and deuterium. The surface of the sample is bombarded with an ion beam (O2+, Cs+ etc). Secondary ions emitted from the sample are filtered by a mass spectrometer and the distribution of the labelling isotope is recorded. In this way, we obtained images showing the characteristic distribution of 14C-thymidine and D-arginine in human fibroblasts, and of 15N-adenine in organotypic cultures of human breast cancer cells. The spatial resolution on the acquired images was close to 0.1 micron when using the UPS-ONERA ion microprobe. The sensitivity of the method for detecting carbon 14 is far greater than that of autoradiography and the technique is both fast and quantitative. On the other hand, the capacity of ion microscopy for studying the tissular distribution of molecules labelled with stable isotopes, opens the way for biological and pharmacological tracer studies of human diseases.     

Numerical bias estimation for mass spectrometric mass isotopomer analysis

Mass spectrometric (MS) isotopomer analysis has become a standard tool for investigating biological systems using stable isotopes. In particular, metabolic flux analysis uses mass isotopomers of metabolic products typically formed from ¹³C-labeled substrates to quantitate intracellular pathway fluxes. In the current work, we describe a model-driven method of numerical bias estimation regarding MS isotopomer analysis. Correct bias estimation is crucial for measuring statistical qualities of measurements and obtaining reliable fluxes. The model we developed for bias estimation corrects a priori unknown systematic errors unique for each individual mass isotopomer peak. For validation, we carried out both computational simulations and experimental measurements. From stochastic simulations, it was observed that carbon mass isotopomer distributions and measurement noise can be determined much more precisely only if signals are corrected for possible systematic errors. By removing the estimated background signals, the residuals resulting from experimental measurement and model expectation became consistent with normality, experimental variability was reduced, and data consistency was improved. The method is useful for obtaining systematic error-free data from ¹³C tracer experiments and can also be extended to other stable isotopes. As a result, the reliability of metabolic fluxes that are typically computed from mass isotopomer measurements is increased.     

Structure elucidation of platelet activating factor derived from human neutrophils

Platelet activating factor (PAF) synthesized by human neutrophils challenged by opsonized zymosan or calcium ionophore was isolated from cells and buffer using Bligh and Dyer extraction following the addition of tracer amounts of tritiated-PAF. The extract was subjected to TLC separation of phospholipid classes, followed by reverse phase HPLC for molecular species separation. All fractions were measured for radioactivity, biological activity and fast atom bombardment mass spectrometry. While the radioactive tracer PAF could be separated into three molecular species, PAF biological activity eluted as a single component which was characterized as 1-O-hexadecyl-2-acetyl-glycero-3-phosphocholine. The lack of molecular species heterogeneity of PAF produced in response to stimuli implies a higher degree of control of biosynthesis than previously suspected.     

A non-radioactive method for measuring Cu uptake in HepG2 cells

At present, all data on Cu uptake and metabolism have been derived from radioactive uptake experiments. These experiments are limited by the availability of the radioactive isotopes 64Cu or 67Cu, and their short half-life (12.5 and 62 h, respectively). In this paper, we investigate an alternative method to study the uptake of Cu with natural isotopes in HepG2 cells, a liver cell line used extensively to study Cu metabolism. In nature, Cu occurs as two stable isotopes, 63Cu and 65Cu (63Cu/65Cu = 2.23). This ratio can be measured accurately using inductively coupled plasma mass spectrometry (ICP-MS). In initial experiments, we attempted to measure the time course of Cu uptake using 65Cu. The change in the 63Cu/65Cu ratio, however, was too small to allow measurement of Cu uptake by the cells. To overcome this difficulty, the natural 63Cu/65Cu ratio in HepG2 cells was altered using long-term incubation with 63Cu. This had a significant effect on Cu concentration in HepG2 cells, changing it from 81.9 +/- 9.46 pmol microg DNA(-1) (week 1) to 155 +/- 8.63 pmol microg DNA(-1) (week 2) and stabilising at 171 +/- 4.82 pmol microg DNA(-1) (week 3). After three weeks of culture with 2 microM 63Cu the 63Cu/65Cu changed from 2.18 +/- 0.05 to 15.3 +/- 1.01. Cu uptake was then investigated as before using 65Cu. Uptake was linear over 60 min, temperature dependent and consistent with previous kinetics data. These observations suggest that stable isotope ICP-MS provides an alternative technique for the study of Cu uptake by HepG2 cells.     

Quantification of the concentration and 13C tracer enrichment of long-chain fatty acyl-coenzyme A in muscle by liquid chromatography/mass spectrometry

Recent diabetes and obesity research has been focused on the role of intracellular lipids in insulin resistance. Fatty acyl-coenzyme A (CoA) esters play a central role in the trafficking of intracellular lipids, but there has not previously been a method with which to quantify their kinetics using tracer methodology. We have therefore developed a high-performance liquid chromatography (HPLC)-mass spectrometry method to simultaneously measure the (13)C stable isotopic enrichment of palmitoyl-acyl-CoA ester and the concentrations of five individual long-chain fatty acyl-CoA esters extracted from muscle tissue samples. The long-chain fatty acyl-CoA can be effectively extracted from frozen muscle tissue samples and baseline separated by a reverse-phase HPLC with the presence of a volatile reagent-triethylamine. Negative ion electrospray mass spectrometry with selected ion monitoring was used to analyze the fatty acyl-CoAs to achieve reliable quantification of their concentrations and (13)C isotopic enrichment. Applying this protocol to rabbit muscle samples demonstrates that it is a sensitive, accurate, and precise method for the quantification of long-chain fatty acyl-CoA concentrations and enrichment.     

Selenoprotein P analysis in human plasma

Several recent analytical methods for determination of Se and selenoprotein P have involved high-performance liquid chromatography (HPLC) using heparin-affinity columns coupled to inductively coupled plasma-mass spectrometry (ICP-MS) for Se detection. HPLC-ICP-MS chromatography using tandem HPLC columns with ICP-MS detection was used to detect the major selenium-containing proteins in plasma (glutathione peroxidase, albumin, and selenoprotein P). The efficiency of HPLC separation of plasma selenoprotein P was investigated by analyzing HPLC fractions using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) with immunoblot analysis. The HPLC fraction corresponding to selenoprotein P contained 25.1% of total selenoprotein P as measured by immunoblot analysis. The majority (74.9%) of total selenoprotein P found by immunoblot analysis was contained in the early HPLC fractions, consistent with either poor heparin affinity, which was not evident based on the HPLC-ICP-MS technique alone or nonspecific binding of the antibody. Immunoblot analysis of selenoprotein relies on antibodies binding to a selenoprotein P epitope, which might be preserved when selenoprotein P is broken down to release selenocysteine residues. Immunoblot methods overestimate selenoprotein P and are not suitable for determinations of intact selenoprotein P.     

A Proteomic Strategy for Global Analysis of Plant Protein Complexes

Global analyses of protein complex assembly, composition, and location are needed to fully understand how cells coordinate diverse metabolic, mechanical, and developmental activities. The most common methods for proteome-wide analysis of protein complexes rely on affinity purification-mass spectrometry or yeast two-hybrid approaches. These methods are time consuming and are not suitable for many plant species that are refractory to transformation or genome-wide cloning of open reading frames. Here, we describe the proof of concept for a method allowing simultaneous global analysis of endogenous protein complexes that begins with intact leaves and combines chromatographic separation of extracts from subcellular fractions with quantitative label-free protein abundance profiling by liquid chromatography-coupled mass spectrometry. Applying this approach to the crude cytosolic fraction of Arabidopsis thaliana leaves using size exclusion chromatography, we identified hundreds of cytosolic proteins that appeared to exist as components of stable protein complexes. The reliability of the method was validated by protein immunoblot analysis and comparisons with published size exclusion chromatography data and the masses of known complexes. The method can be implemented with appropriate instrumentation, is applicable to any biological system, and has the potential to be further developed to characterize the composition of protein complexes and measure the dynamics of protein complex localization and assembly under different conditions.     

A Liquid Chromatography–Mass Spectrometry Method to Measure Stable Isotopic Tracer Enrichments of Glycerol and Glucose in Human Serum

Stable isotopes are commonly used as tracers for the measurement of glycerol and glucose kinetics in metabolic studies. Traditionally, the analysis of these isotopes has been performed using gas chromatography-mass spectrometry, which requires that the analytes first be derivatized. The derivatization process adds considerable complexity to the method. Liquid chromatography-mass spectrometry (LCMS) can measure many metabolites directly with limited sample preparation. We present a novel analytical method for the measurement of [1,1,2,3,3-(2)H(5)]glycerol (d(5)-glycerol) and [6,6-(2)H(2)]glucose (d(2)-glucose) isotopic tracer enrichments in human serum in a single run by LCMS. After a simple extraction step, the sample is separated isocratically by HPLC, and the isotopes are measured using positive electrospray ionization with selected ion monitoring of the sodium-adduct ions. The method is linear over a wide range of d(2)-glucose and d(5)-glycerol enrichments. The within-day standard deviation of measurement of serum samples was 0.05 mole% excess (MPE) for d(2)-glucose and 0.25 MPE for d(5)-glycerol. The variation of tracer enrichment among days was about double that measured within 1 day.     

Integration of multidimensional chromatographic protein separations with a combined "top-down" and "bottom-up" proteomic strategy

In this paper, we present a combined top-down/bottom-up proteomic analysis workflow for the characterization of proteomic samples. This workflow combines protein fractionation (multidimensional chromatographic separation) with parallel online ESI-TOF-MS intact protein analysis, and fraction collection. Collected fractions were digested and protein identifications were produced using MALDI Q-TOF-MS analysis. These identifications were then linked with corresponding ESI-TOF-MS intact protein mass data to permit full protein characterization. This methodology was applied to an E. coli cytosolic protein fraction, and enabled the identification and characterization of proteins exhibiting co-translational processing, post-translational modification, and proteolytic processing events. The approach also provided the ability to distinguish between closely related protein isoforms. The summary of results from this study indicated that roughly one-third of all detected components generated corresponding data from both top-down and bottom-up analyses, and that significant and novel information can be derived from this application of the hybrid analytical methodology.     

An improved scheme of leucine derivative fragmentation in mass spectrometry

Summary This study illustrates the contribution of stable isotopes to amino acid mass spectrometry. The mass spectra of natural leucine and 1¹³C leucine were compared and the mass fragmentography pattern analysed. This analysis indicates that the position of the stable isotope in tracer molecules should be very dependent on the analytical procedure used for their determination.     

New tools for mass isotopomer data evaluation in (13)C flux analysis: mass isotope correction, data consistency checking, and precursor relationships

13C metabolic flux analysis (MFA) is based on carbon-labeling experiments where a specifically (13)C labeled substrate is fed. The labeled carbon atoms distribute over the metabolic network and the label enrichment of certain metabolic pools is measured by using different methods. Recently, MS methods have been dramatically improved-large and precise datasets are now available. MS data has to be preprocessed and corrected for natural stable mass isotopes. In this article we present (1). a new elegant method to correct MS measurement data for natural stable mass isotopes by infinite dimensional matrix calculus and (2). we statistically analyze and discuss a reconstruction of labeling pattern in metabolic precursors from biosynthesis molecules. Moreover, we establish a new method for consistency checking of MS spectra that can be applied for automatic error recognition in high-throughput flux analysis procedures. Preprocessing the measurement data changes their statistical properties which have to be considered in the subsequent parameter fitting process for (13)C MFA. We show that correcting for stable mass isotopes leads to rather small correlations. On the other hand, a direct reconstruction of a precursor labeling pattern from an aromatic amino acid measurement turns out to be critical. Reasonable results are only obtained if additional, independent information about the labeling of at least one precursor is available. A versatile MatLab tool for the rapid correction and consistency checking of MS spectra is presented. Practical examples for the described methods are also given.