global metabolomic profiling analysis  (Metabolon Inc)

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: Samples were analyzed by Metabolon’s Global Metabolomic Profiling Analysis, which identified 202 biochemicals confirmed by authenticated library standards.

Techniques: Standard Deviation

Journal: Communications Biology

Article Title: Integrated multi-omics analysis of adverse cardiac remodeling and metabolic inflexibility upon ErbB2 and ERRα deficiency

doi: 10.1038/s42003-022-03942-4

Figure Lengend Snippet: a Schematic illustration showing the integration of multi-omics signatures filtered for prioritizing deregulated DCM-causing molecules that are ErbB2- and/or ERRα-dependent. b IPA canonical pathway activity relationships with the 3 identified multi-omics signatures identified in ( a ). Pathways with significantly associated activation (z-score ≥ 2) or inhibition (z-score ≤ −2) states are shown with the relative contribution of each omics layer (phosphoprotein, gene, metabolite) to the predictions. c IPA identified doxorubicin as an upstream chemical drug with a significant activation score (z-score ≥ 2) uniquely in the ERRα-driven signature identified in ( a ). d Schematic illustration showing the integration of multi-omics signatures from doxorubicin-treated animals using publicly available phosphoproteomics , transcriptomics – , and metabolomics – datasets. e IPA identified ESRRA (ERRα) as a transcriptional regulator with a significant down-regulated activation score (z-score ≤−2) in the doxorubicin-driven multi-omics signature identified in ( d ). f IPA attributed a significant down-regulated activation score (z-score ≤−2) to ESRRA (ERRα) in 7 of 9 doxorubicin-modulated transcriptomes used to construct the multi-omics signature in ( d ). g Intersection of the ERRα KO & KI:KO and doxorubicin cardiac multi-omics signatures identified in ( a , d ) resulted in 89 commonly deregulated molecules, mainly down-regulated and most largely associated with lipid metabolism. See also Supplementary Fig. .

Article Snippet: Frozen whole mouse hearts ( n = 8 per group) were submitted to Metabolon Inc. (Durham, NC, USA) for sample preparation and global cardiac metabolomics profiling analysis.

Techniques: Biomarker Discovery, Activity Assay, Activation Assay, Inhibition, Phospho-proteomics, Construct