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metabolic profile analysis  (Shimadzu Corporation)


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    Shimadzu Corporation metabolic profile analysis
    Metabolic Profile Analysis, supplied by Shimadzu Corporation, used in various techniques. Bioz Stars score: 99/100, based on 8003 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/metabolic+profile+analysis/LabSolutions+Series/pmc11884091-58-0-6
    Average 99 stars, based on 8003 article reviews
    metabolic profile analysis - by Bioz Stars, 2026-10
    99/100 stars

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    Article Title: Candida albicans and NCAC species: acidogenic and fluoride-resistant oral inhabitants
    Article Snippet: The filtrates were quantitatively analyzed by high-performance liquid chromatography (HPLC; Shimadzu Prominence LC-20AD, Shimadzu Co. Ltd., Kyoto, Japan). .. Metabolic profile analysis was done using Shimadzu LabSolutions software V 5.42 SP3, and target acidic end-products included succinate, citrate, oxaloacetate, pyruvate, malate, fumarate, lactate, formate, and acetate as described previously [ , ]. ..



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    Effect of short-term wheel running exercise on synovial fluid metabolites. Synovial fluid was collected from knees of male and female mice following 0, 1, 3, or 5 days of voluntary wheel running exercise and intra-articular injections, as described in Fig. . Samples were analyzed by Metabolon’s Global Metabolomic Profiling Analysis, which identified 202 biochemicals confirmed by authenticated library standards. Peak area data were normalized to extracted volume and then median scaled. ( A ) 2-way hierarchical clustering analysis was used to identify patterns in synovial fluid metabolite abundance across experimental groups. Heatmap color legend signifies standardized metabolite values calculated by subtracting the mean and dividing by the standard deviation. Columns represent mean values per experimental group, and rows represent individual metabolites. Note that 3- and 5-day exercise conditions clustered together in the third and fourth columns. Filled cells in right-hand column indicate metabolites significantly altered by exercise (Generalized Linear Model including exercise, sex, and treatment effects). Green rectangles designate clusters (C1 – C5) with distinct changes in metabolite abundance versus days of exercise. ( B ) Pie chart of relative percent of all detected metabolites categorized by Metabolon’s Metabolic Super Pathway assignment. Numbers in parentheses indicate absolute number of metabolites detected per category. ( C ) Pie charts of cluster-specific metabolite composition based on Metabolic Super Pathway assignments. Donut charts indicate the relative proportion of metabolites within a given cluster that were significantly altered by exercise, biological sex, or treatment ( p < 0.05). Line graphs of metabolites significantly altered by exercise, expressed as abundance fold-change relative to day 0 values (log2) and color coded according to Metabolic Super Pathway (Supplemental Table 7).

    Journal: Scientific Reports

    Article Title: Exercise induces dynamic changes in intra-articular metabolism and inflammation associated with remodeling of the infrapatellar fat pad in mice

    doi: 10.1038/s41598-025-86726-0

    Figure Lengend Snippet: Effect of short-term wheel running exercise on synovial fluid metabolites. Synovial fluid was collected from knees of male and female mice following 0, 1, 3, or 5 days of voluntary wheel running exercise and intra-articular injections, as described in Fig. . Samples were analyzed by Metabolon’s Global Metabolomic Profiling Analysis, which identified 202 biochemicals confirmed by authenticated library standards. Peak area data were normalized to extracted volume and then median scaled. ( A ) 2-way hierarchical clustering analysis was used to identify patterns in synovial fluid metabolite abundance across experimental groups. Heatmap color legend signifies standardized metabolite values calculated by subtracting the mean and dividing by the standard deviation. Columns represent mean values per experimental group, and rows represent individual metabolites. Note that 3- and 5-day exercise conditions clustered together in the third and fourth columns. Filled cells in right-hand column indicate metabolites significantly altered by exercise (Generalized Linear Model including exercise, sex, and treatment effects). Green rectangles designate clusters (C1 – C5) with distinct changes in metabolite abundance versus days of exercise. ( B ) Pie chart of relative percent of all detected metabolites categorized by Metabolon’s Metabolic Super Pathway assignment. Numbers in parentheses indicate absolute number of metabolites detected per category. ( C ) Pie charts of cluster-specific metabolite composition based on Metabolic Super Pathway assignments. Donut charts indicate the relative proportion of metabolites within a given cluster that were significantly altered by exercise, biological sex, or treatment ( p < 0.05). Line graphs of metabolites significantly altered by exercise, expressed as abundance fold-change relative to day 0 values (log2) and color coded according to Metabolic Super Pathway (Supplemental Table 7).

    Article Snippet: Fig. 8 Effect of short-term wheel running exercise on synovial fluid lipids. ( A ) Principal component (PC) analysis based on area-under-the-curve relative quantification of 47 lipids identified in the synovial fluid from a Global Metabolic Profiling Analysis (Metabolon).

    Techniques: Standard Deviation

    Effect of short-term wheel running exercise on synovial fluid lipids. ( A ) Principal component (PC) analysis based on area-under-the-curve relative quantification of 47 lipids identified in the synovial fluid from a Global Metabolic Profiling Analysis (Metabolon). Symbols represent samples from knees of male and female mice treated with either saline or isoproterenol following 0, 1, 3, or 5 days of voluntary wheel running exercise. For simplicity, symbols only distinguish exercise duration, although a graph that also labels sex and treatment is available in Supplemental Fig. 3. ( B ) Variance along PC1 primarily corresponded to exercise duration. Therefore, eigenvector contributions of lipid species to PC1 were plotted in descending value to identify candidate lipid species most sensitive to exercise. Colors and symbols in the key identify the super pathway assignment for each lipid, according to Metabolon. ( C ) Boxplots of lipids that were upregulated or ( D ) downregulated with increasing exercise duration show the 25th to 75th percentiles, with horizontal line indicating the median, and whiskers denoting maximum and minimum values ( n = 10–12 per timepoint). Data analyzed by Brown-Forsythe ANOVA with Dunnett’s T3 multiple comparisons post-hoc test ( p ≤ 0.10 shown).

    Journal: Scientific Reports

    Article Title: Exercise induces dynamic changes in intra-articular metabolism and inflammation associated with remodeling of the infrapatellar fat pad in mice

    doi: 10.1038/s41598-025-86726-0

    Figure Lengend Snippet: Effect of short-term wheel running exercise on synovial fluid lipids. ( A ) Principal component (PC) analysis based on area-under-the-curve relative quantification of 47 lipids identified in the synovial fluid from a Global Metabolic Profiling Analysis (Metabolon). Symbols represent samples from knees of male and female mice treated with either saline or isoproterenol following 0, 1, 3, or 5 days of voluntary wheel running exercise. For simplicity, symbols only distinguish exercise duration, although a graph that also labels sex and treatment is available in Supplemental Fig. 3. ( B ) Variance along PC1 primarily corresponded to exercise duration. Therefore, eigenvector contributions of lipid species to PC1 were plotted in descending value to identify candidate lipid species most sensitive to exercise. Colors and symbols in the key identify the super pathway assignment for each lipid, according to Metabolon. ( C ) Boxplots of lipids that were upregulated or ( D ) downregulated with increasing exercise duration show the 25th to 75th percentiles, with horizontal line indicating the median, and whiskers denoting maximum and minimum values ( n = 10–12 per timepoint). Data analyzed by Brown-Forsythe ANOVA with Dunnett’s T3 multiple comparisons post-hoc test ( p ≤ 0.10 shown).

    Article Snippet: Fig. 8 Effect of short-term wheel running exercise on synovial fluid lipids. ( A ) Principal component (PC) analysis based on area-under-the-curve relative quantification of 47 lipids identified in the synovial fluid from a Global Metabolic Profiling Analysis (Metabolon).

    Techniques: Quantitative Proteomics, Saline