15 research outputs found
Correlation matrix for plasma metabolite levels: Pearson correlation coefficients for 13 metabolite concentrations (log-transferred) associated with TPA in the original dataset.
<p>Correlation matrix for plasma metabolite levels: Pearson correlation coefficients for 13 metabolite concentrations (log-transferred) associated with TPA in the original dataset.</p
Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men
<div><p>Objective</p><p>Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study.</p><p>Methods</p><p>A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels by quartile of metabolic equivalent scores, and sedentary behavior, defined as hours of sitting per day, was collected through a self-administered questionnaire. Plasma metabolite concentrations were quantified by capillary electrophoresis mass spectrometry method. We performed linear regression analysis models with multivariable adjustment and corrected p-values for multiple testing in the original population (n = 808). The robustness of the results was confirmed by replication analysis in a separate population (n = 385) created by random allocation.</p><p>Results</p><p>Higher levels of total physical activity were associated with various metabolite concentrations, including lower concentrations of amino acids and their derivatives, and higher concentrations of pipecolate (FDR p <0.05 in original population). The findings persisted after adjustment for age, body mass index, smoking, alcohol intake, and energy intake. Isoleucine, leucine, valine, 4-methyl-2-oxoisopentanoate, 2-oxoisopentanoate, alanine, and proline concentrations were lower with a shorter sitting time.</p><p>Conclusions</p><p>Physical activity is related to various plasma metabolites, including known biomarkers for future insulin resistance or type 2 diabetes. These metabolites might potentially play a key role in the protective effects of higher physical activity and/or less sedentary behavior on non-communicable diseases.</p></div
Associations between TPA and metabolite measurements.
<p>Associations between metabolites and TPA level (Q1, Q2, Q3, Q4) in the original (left) and replication (right) populations. Linear regression between each metabolite and TPA was performed. Raw p-values for unadjusted and adjusted models are shown. Fold change (with 95% CI) per one-unit increase in TPA level were calculated using the beta of the linear regression analysis of the unadjusted model. The blue bars mean lower concentrations and the red bars mean higher concentrations in highly active groups. Metabolites associated with TPA levels are shown in this figure (FDR p <0.05 for unadjusted model in the original population). Replication analysis was performed only for these metabolites. AAs, amino acids; CI, confidence interval. <sup>#</sup>Adjusted for age, BMI, smoking (never/former/current), current alcohol drinker (yes/no), and energy intake (high/low).</p
Cross-classified multivariable-adjusted mean concentrations of metabolites associated with TPA and sedentary behavior levels.
<p>Multivariable-adjusted (age, BMI, smoking, alcohol, energy intake) mean concentrations were calculated by groups cross-classified by TPA level and sitting time. Metabolites that showed a strong association with both exposures (Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164877#pone.0164877.g002" target="_blank">2</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164877#pone.0164877.g003" target="_blank">3</a>) are shown. P-values for interactions between TPA and sitting time levels were tested. Details of the number of subjects in each cross-classified group are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164877#pone.0164877.s002" target="_blank">S2 Fig</a>.</p
Characteristics of the original population (n = 808).
<p>Characteristics of the original population (n = 808).</p
Associations between sedentary behavior level and metabolite measurements.
<p>Associations between metabolites and sitting time level (long, medium, short) in the original (left) and replication (right) populations. Linear regression between each metabolite was performed, and p-values for unadjusted and adjusted models are shown. Fold change per one-unit decrease with 95% CI in sitting time level were calculated using the beta of the linear regression analysis of the unadjusted model. Blue bars mean lower concentrations in the shorter sitting time groups. Only metabolites associated with sitting time levels (p <0.05 for the unadjusted model in the original population) among metabolites associated with TPA (shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164877#pone.0164877.g002" target="_blank">Fig 2</a>) are shown. <sup>#</sup>Adjusted for age, BMI, smoking (never/former/current), current alcohol drinker (yes/no), and energy intake (high/low).</p
Correlation matrix for plasma metabolite levels: Pearson correlation coefficients for 13 metabolite concentrations (log-transferred) associated with TPA in the original dataset.
<p>Correlation matrix for plasma metabolite levels: Pearson correlation coefficients for 13 metabolite concentrations (log-transferred) associated with TPA in the original dataset.</p
Associations between TPA and metabolite measurements.
<p>Associations between metabolites and TPA level (Q1, Q2, Q3, Q4) in the original (left) and replication (right) populations. Linear regression between each metabolite and TPA was performed. Raw p-values for unadjusted and adjusted models are shown. Fold change (with 95% CI) per one-unit increase in TPA level were calculated using the beta of the linear regression analysis of the unadjusted model. The blue bars mean lower concentrations and the red bars mean higher concentrations in highly active groups. Metabolites associated with TPA levels are shown in this figure (FDR p <0.05 for unadjusted model in the original population). Replication analysis was performed only for these metabolites. AAs, amino acids; CI, confidence interval. <sup>#</sup>Adjusted for age, BMI, smoking (never/former/current), current alcohol drinker (yes/no), and energy intake (high/low).</p
Histogram of CV for 94 metabolites in QC samples.
<p>(A) Coefficients of variation (CV) for detected 94 metabolites in quality control (QC) samples. (B) Inter- and intra-batch CV for each metabolite in QC samples. Inter- and intra-batch CV were computed using linear mixed models.</p
Concentrations of creatinine and uric acid stratified with sex and age.
<p>Concentrations of creatinine and uric acid stratified with sex and age.</p