PubMed Health⌕ Search

Biomedical subjects

Wayne R Matson

Publications and source records attributed to Wayne R Matson.

12 recordsLinked to original sources
PubMed2007

High-performance liquid chromatography separations coupled with coulometric electrode array detectors: a unique approach to metabolomics.

Metabolomics is the systematic and theoretically comprehensive study of the small molecules that comprise a biological sample, e.g., sera or plasma. The primary analytical tools used in metabolomics are nuclear magnetic resonance and mass spectroscopy. We here address a different tool, high-performance liquid chromatography (HPLC) separations coupled with coulometric electrode array detection. This system has unique advantages, notably sensitivity and high quantitative precision, but also has unique limitations, such as obtaining little structural information on the metabolites of interest and limited scale-up capacity. The system also only detects redox-active compounds, which can be either a benefit or a detriment, depending on the experimental goals and design. Here, we discuss the characteristics of this HPLC/coulometric electrode array system in the context of metabolomics, and then present the method as practiced in our groups.

Animals↗
PubMed2006

Dose ranging and efficacy study of high-dose coenzyme Q10 formulations in Huntington's disease mice.

There is substantial evidence that a bioenergetic defect may play a role in the pathogenesis of Huntington's Disease (HD). A potential therapy for remediating defective energy metabolism is the mitochondrial cofactor, coenzyme Q10 (CoQ10). We have reported that CoQ10 is neuroprotective in the R6/2 transgenic mouse model of HD. Based upon the encouraging results of the CARE-HD trial and recent evidence that high-dose CoQ10 slows the progressive functional decline in Parkinson's disease, we performed a dose ranging study administering high levels of CoQ10 from two commercial sources in R6/2 mice to determine enhanced efficacy. High dose CoQ10 significantly extended survival in R6/2 mice, the degree of which was dose- and source-dependent. CoQ10 resulted in a marked improvement in motor performance and grip strength, with a reduction in weight loss, brain atrophy, and huntingtin inclusions in treated R6/2 mice. Brain levels of CoQ10 and CoQ9 were significantly lower in R6/2 mice, in comparison to wild type littermate control mice. Oral administration of CoQ10 elevated CoQ10 plasma levels and significantly increased brain levels of CoQ9, CoQ10, and ATP in R6/2 mice, while reducing 8-hydroxy-2-deoxyguanosine concentrations, a marker of oxidative damage. We demonstrate that high-dose administration of CoQ10 exerts a greater therapeutic benefit in a dose dependent manner in R6/2 mice than previously reported and suggest that clinical trials using high dose CoQ10 in HD patients are warranted.

8-Hydroxy-2'-Deoxyguanosine↗
PubMed2005

Increased oxidative damage to DNA in an animal model of amyotrophic lateral sclerosis.

Substantial evidence suggest that oxidative damage may play a role in the pathogenesis of Amyotrophic Lateral Sclerosis (ALS). We examined levels of 8-Hydroxy-2'-deoxyguanosine (8OH2'dG) in the nuclear DNA from the spinal cord, frontal cortex, striatum and cerebellum from G93A mice at 60, 90, and 120 days of age. We also used in vivo microdialysis to measure free levels of 8OH2'dG and 8-Hydroxyguanine (8OHG) at the same time points in the frontal cortex of G93A mice. Increased 8OH2'dG DNA levels were observed in the spinal cord (at 60, 90 and 120 days), in the cortex (at 90, and 120 days), and in the striatum (at 120 days), as compared to age-matched littermate controls. No significant changes were found in the cerebellum at any of the time points studied. Free levels of 8OH2'dG in the cortex of G93A mice were increased, as compared to control mice, at 90 and 120 days. Free levels of 8OHG were found to be significantly higher at 120 days of age in control mice than in G93A mice. These results provide evidence that in this model of ALS oixidative DNA-damage is increased and base excision-repair may be deficient.

8-Hydroxy-2'-Deoxyguanosine↗
PubMed2004

Development of biomarkers based on diet-dependent metabolic serotypes: practical issues in development of expert system-based classification models in metabolomic studies.

Dietary restriction (DR)-induced changes in the serum metabolome may be biomarkers for physiological status (e.g., relative risk of developing age-related diseases such as cancer). Megavariate analysis (unsupervised hierarchical cluster analysis [HCA]; principal components analysis [PCA]) of serum metabolites reproducibly distinguish DR from ad libitum fed rats. Component-based approaches (i.e., PCA) consistently perform as well as or better than distance-based metrics (i.e., HCA). We therefore tested the following: (A) Do identified subsets of serum metabolites contain sufficient information to construct mathematical models of class membership (i.e., expert systems)? (B) Do component-based metrics out-perform distance-based metrics? Testing was conducted using KNN (k-nearest neighbors, supervised HCA) and SIMCA (soft independent modeling of class analogy, supervised PCA). Models were built with single cohorts, combined cohorts or mixed samples from previously studied cohorts as training sets. Both algorithms over-fit models based on single cohort training sets. KNN models had >85% accuracy within training/test sets, but were unstable (i.e., values of k could not be accurately set in advance). SIMCA models had 100% accuracy within all training sets, 89 % accuracy in test sets, did not appear to over-fit mixed cohort training sets, and did not require post-hoc modeling adjustments. These data indicate that (i) previously defined metabolites are robust enough to construct classification models (expert systems) with SIMCA that can predict unknowns by dietary category; (ii) component-based analyses outperformed distance-based metrics; (iii) use of over-fitting controls is essential; and (iv) subtle inter-cohort variability may be a critical issue for high data density biomarker studies that lack state markers.

Algorithms↗
PubMed2004

Development of biomarkers based on diet-dependent metabolic serotypes: concerns and approaches for cohort and gender issues in serum metabolome studies.

Mathematical models that reflect the effects of dietary restriction (DR) on the sera metabolome may have utility in understanding the mechanisms of DR and in applying this knowledge to human epidemiological studies. Previous studies demonstrated both the feasibility of identifying biomarkers through metabolome analysis and the validity of our approach in independent cohorts of 6-month-old male and female ad libitum fed or DR rats. Cross-cohort studies showed that cohort-specific effects distorted the dataset. The present study extends these observations across the entire sample set, thereby validating our markers independently of specific cohorts. Metabolites originally identified in males were examined in females and vice-versa. DR's effect on the metabolome is partially gender-specific and is modulated by environmental factors. DR reduces inter-gender differences in the metabolome. Univariate statistical methods showed that 56/93 metabolites in the female samples and 39/93 metabolites in the male samples were significantly altered (using our previous cut-off criteria of p < or = 0.2) by DR. The metabolites modulated by DR present a wide spectrum of concentration, redox reactivity and hydrophilicity, suggesting that our serotype is broadly representative of the metabolome and that DR has broad effects on the metabolome. These studies, coupled with those in the preceding and following reports, also highlight the utility for consideration of the metabolome as a network of metabolites using appropriate data analysis approaches. The inter-cohort and inter-gender differences addressed herein suggest potential cautions, and potential approaches, for identification of multivariate biomarker profiles that reflect changes in physiological status, such as a metabolism that predisposes to increased risk of neoplasia.

Animals↗
PubMed2004

Development of biomarkers based on diet-dependent metabolic serotypes: characteristics of component-based models of metabolic serotypes.

Our research seeks to identify a serum profile, or serotype, that reflects the systemic physiologic modifications resultant from dietary restriction (DR), in part such that this knowledge can be applied for biomarker studies. Direct comparison suggests that component-based classification algorithms consistently out-perform distance-based metrics for studies of nutritional modulation of metabolic serotype, but are subject to over-fitting concerns. Intercohort differences in the sera metabolome could partially obscure the effects of DR. Further analysis now shows that implementation of component-based approaches (also called projection methods) optimized for class separation and controlled for over-fitting have >97% accuracy for distinguishing sera from control or DR rats. DR's effect on the metabolome is shown to be robust across cohorts, but differs in males and females (although some metabolites are affected in both). We demonstrate the utility of projection-based methods for both sample and variable diagnostics, including identification of critical metabolites and samples that are atypical with respect to both class and variable models. Inclusion of non-statistically different variables enhances classification models. Variables that contribute to these models are sharply dependent on mathematical processing techniques; some variables that do not contribute under one paradigm are powerful under alternative mathematical paradigms. In practical terms, this information may find purpose in other endeavors, such as mechanistic studies of DR. Application of these approaches confirms the utility of megavariate data analysis techniques for optimal generation of biomarkers based on nutritional modulation of physiological processes.

Animals↗
PubMed2003

Urinary 8-hydroxy-2'-deoxyguanosine, a metabolite of oxidized DNA, is not elevated in HIV patients on combination antiretroviral therapy.

Mitochondrial toxicity of nucleoside analogues has been proposed to be the etiology of a range of side-effects from antiretroviral therapy of HIV infection. In this study, urinary 8-hydroxy-2'-deoxyguanosine (8OH2'dG), a metabolite of oxidized DNA, was measured to determine if antiretroviral therapy leads to oxidative damage to DNA. A cross-sectional study was carried out measuring urinary 8OH2'dG in three groups of HIV-infected patients: (1) antiretroviral medication naïve, (2) patients on antiretroviral medications without lipodystrophy and (3) patients on antiretroviral medications with lipodystrophy. Twenty-five patients were enrolled in each group. The mean spot urinary 8OH2'dG measurements per mg creatinine for the three groups were: antiretroviral naïve 4.27 +/- 0.61 (ng 8OH2'dG/mg creatinine +/- SEM), on antiretroviral medications without lipodystrophy 2.88 +/- 0.26, and on antiretroviral medications with lipodystrophy 3.27 +/- 0.30. The differences between the means of the three groups is not statistically significant (p = 0.055), and these results are not significantly different from reported values for healthy controls [A carbon column-based liquid chromatography electrochemical approach to routine 8-hydroxy-2-deoxyguanosine measurements in urine and other biologic matrices: a one-year evaluation of methods. Free Radical Biology and Medicine 27 (1999) 647-666].

8-Hydroxy-2'-Deoxyguanosine↗
PubMed2002

Therapeutic effects of cystamine in a murine model of Huntington's disease.

The precise cause of neuronal death in Huntington's disease (HD) is unknown. Proteolytic products of the huntingtin protein can contribute to toxic cellular aggregates that may be formed in part by tissue transglutaminase (Tgase). Tgase activity is increased in HD brain. Treatment in R6/2 transgenic HD mice, using the transglutaminase inhibitor cystamine, significantly extended survival, improved body weight and motor performance, and delayed the neuropathological sequela. Tgase activity and N(Sigma)-(gamma-L-glutamyl)-L-lysine (GGEL) levels were significantly altered in HD mice. Free GGEL, a specific biochemical marker of Tgase activity, was markedly elevated in the neocortex and caudate nucleus in HD patients. Both Tgase and GGEL immunoreactivities colocalized to huntingtin aggregates. Cystamine treatment normalized transglutaminase and GGEL levels in R6/2 mice. These findings are consistent with the hypothesis that transglutaminase activity may play a role in the pathogenesis of HD, and they identify cystamine as a potential therapeutic strategy for treating HD patients.

Administration, Oral↗
PubMed2002

Attention to relative response across sequential electrodes improves quantitation of coulometric array.

HPLC separations coupled with coulometric electrode-based detectors offer potential to evaluate complex biological samples, but analytical approaches to such samples are still being defined. Coulometric electrode array systems use response ratio (as ratio conformity), for quantitation and qualitative characterization. We investigated the influence of changing the ratio conformity requirement (ratio window, RW) on quantitative consistency of the system. Sixty-one serum metabolites were analyzed in three cohorts of ad libitum/dietary restricted rats with two RW settings. RW 30 uses channels with <30% ratio variation (vs standard) to quantitate, whereas RW 100 generally uses all channels. Quantitation between the two approaches differed in 29/671, 61/976, and 264/976 metabolites in cohorts A, B, and C, respectively. The changes were 23.0 +/- 16.6, 31.9 +/- 28.6, and 23.6 +/- 17.1% (+/- SD). Correlation analysis showed that 11, 7, and 21% of the 61 metabolites had r(2) < 0.9 in cohorts A, B, and C, respectively. Inspection of HPLC chromatograms revealed that most of the metabolites with changed levels possessed common characteristics (e.g., shoulder peaks, low signal/noise ratios, coeluting peaks). Analysis demonstrated that RW 30 provided precise quantitation, whereas RW 100 did not. These data suggest that narrow ratio window increases quantitative accuracy in coulometric electrode array analysis of the metabolome(s) of complex biological samples (e.g., sera, mitochondria).

Animals↗
PubMed2002

Characterization of diet-dependent metabolic serotypes: proof of principle in female and male rats.

Our research seeks to identify a serum profile, or serotype, that reflects substantial changes in food intake. Earlier studies demonstrated that a number of low-molecular-weight, redox-active compounds of metabolome were sufficiently stable analytically and biologically to identify biomarkers of dietary restriction (DR, restriction of total food intake) in rats. A second initial requirement is to demonstrate feasibility, i.e., that concentration changes in selected serum metabolites can contain sufficient information to classify rats by diet. The current study distinguished 101 (female) and 112 (male) chromatographically identifiable compounds that differ between ad libitum (AL) consumption and DR 6-mo-old rats. In a cohort of female rats, both hierarchical cluster analysis (HCA) and principal component analyses (PCA) could distinguish dietary groups with 100% efficiency (101 metabolites). Repeating the classification studies using the 63 biologically and analytically most robust metabolites decreased noise without affecting categorical separation. In a cohort of male rats, PCA, but not HCA, distinguished the original dietary groups with 100% accuracy (112 metabolites). A subset of 52 of the 112 metabolites enabled both HCA and PCA to group the male rats with 100% accuracy. These data demonstrate that quantitative analysis of selected serum metabolites can yield sufficient information by which to classify the dietary intake of a group of rats, identify such markers chromatographically and set the stage for validation of these metabolic serotypes in independent datasets.

Animals↗
PubMed2002

Characterization of diet-dependent metabolic serotypes: primary validation of male and female serotypes in independent cohorts of rats.

Our research seeks to identify serum profiles, or serotypes, that reflect substantial changes in food intake in both male and female rats. This report validates previously defined subsets of redox-active low-molecular-weight metabolites using independent cohorts of ad libitum consumption (AL) and energy or dietary restricted (DR) 6-mo-old male and female rats. In the male study, both hierarchical cluster analysis (HCA) and principal component analysis (PCA) distinguished the dietary groups of origin in the second male cohort with >85% accuracy using 56 analytically and biologically valid metabolites. Further analysis revealed that 29 metabolites (nine previously unidentified metabolites + 20 chosen from the 56 metabolites) enabled HCA to distinguish dietary groups at 100% efficacy. In the female study, the 63 previously identified serum metabolites were sufficiently robust to enable classification of the dietary intake of two female cohorts (cohorts 2 and 3) that were independent of the cohort on which these markers were initially identified (cohort 1). Classification accuracy was 94 and 100% using HCA and PCA, respectively, in the female cohort 2. HCA and PCA revealed that the 63-metabolite profile distinguished AL and DR samples at 91 and 100% accuracy in the female cohort 3, establishing the 63-metabolite dataset as our baseline profile. These studies used independent cohorts to validate and potentially improve upon previously defined metabolic serotype in male and female rats and set the stage for pattern recognition-based approaches to establish metabolome-based categorical separations.

Animals↗