global metabolomics profiling  (Metabolon Inc)

Journal: Scientific Reports

Article Title: Loss of the CoA-degrading enzyme NUDT19 exacerbates albuminuria and disrupts renal lipid homeostasis in high fat diet-fed mice

doi: 10.1038/s41598-026-36136-7

Figure Lengend Snippet: Nudt19 deletion decreases kidney content of NEFA and monoacyl lipids. ( A ) Volcano plot of all metabolites detected by the untargeted metabolomics analysis, with significantly changed metabolites colored in yellow. (B) Pathway enrichment analysis, with p value derived from hypergeometric distribution test. ( C-D ) Heatmaps of all significantly changed ( C ) NEFA and ( D ) monoacyl lipids.

Article Snippet: Global metabolomic profiling, with associated statistical analyses and pathway enrichment assessments, were conducted by Metabolon, Inc.

Techniques: Derivative Assay

Journal: Nature Communications

Article Title: Cholesterol-lowering effects of oats induced by microbially produced phenolic metabolites in metabolic syndrome: a randomized controlled trial

doi: 10.1038/s41467-026-68303-9

Figure Lengend Snippet: a Two-component sample plot of the sPLS-DA on the changes in the global plasma metabolomic profiles in OG and CG. b Weight loadings of the top 10 selected plasma metabolites in component 1 of the sPLS-DA (green or black triangle: increase or decrease in OG vs. CG). Coefficient and 95% CI were calculated using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). c Violin plots showing log fold change of selected phenolic metabolites (dashed center line: median; dotted line: upper and lower quartiles). Between-group differences were analyzed using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). d Two-component sample plot of the sPLS-DA on the changes in the global plasma metabolomic profiles in OG 6w and CG 6w . e Weight loadings of the top 10 selected plasma metabolites in component 1 of the sPLS-DA (green or black triangle: increase or decrease in OG 6w vs. CG 6w ). Coefficient and 95% CI were calculated using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). f Violin plots showing log fold change of selected phenolic metabolites (dashed center line: median; dotted line: upper and lower quartiles). Between-group differences were analyzed using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). All P -values were FDR-corrected based on Benjamini/Hochberg method ( q -value). a – c OG: n = 17, CG: n = 15. d – f OG 6w : n = 17, CG 6w : n = 17. BER balanced error rate, CG control group, CG 6w six-week control group, CI confidence interval, OG oat group, OG 6w six-week oat group. Source data are provided as a Source Data file.

Article Snippet: For both fasting plasma and fecal samples, non-targeted global metabolomic profiles before and after each intervention period were generated by Metabolon Inc. (Research Triangle) using UPLC-MS/MS , (Supplementary Data ).

Techniques: Clinical Proteomics, Metabolomic, Concentration Assay, Control

Journal: Nature Communications

Article Title: Cholesterol-lowering effects of oats induced by microbially produced phenolic metabolites in metabolic syndrome: a randomized controlled trial

doi: 10.1038/s41467-026-68303-9

Figure Lengend Snippet: a Two-component sample plot of the sPLS-DA on the changes in the global fecal metabolomic profiles in OG and CG. b Weight loadings of the top 10 selected fecal metabolites in component 1 (green or black triangle: increase or decrease in OG vs. CG). Coefficient and 95% CI were calculated using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). c Violin plots showing log fold change of selected metabolites (dashed center line: median; dotted line: upper and lower quartiles). Between-group differences were analyzed using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). d Two-component sample plot of the sPLS-DA on the changes in the global fecal metabolomic profiles in OG 6w and CG 6w . e Weight loadings of the top 10 selected fecal metabolites in component 1 (green or black triangle: increase or decrease in OG 6w vs. CG 6w ). Coefficient and 95% CI were calculated using linear regression models adjusted for baseline concentration, age, sex, BMI (LnR adj. ). All P -values were FDR-corrected based on Benjamini/Hochberg method ( q -value). a – c OG: n = 16, CG: n = 12. d – f OG 6w : n = 17, CG 6w : n = 17. BER balanced error rate, CG control group, CG 6w six-week control group, CI confidence interval, OG oat group, OG 6w six-week oat group. Source data are provided as a Source Data file.

Article Snippet: For both fasting plasma and fecal samples, non-targeted global metabolomic profiles before and after each intervention period were generated by Metabolon Inc. (Research Triangle) using UPLC-MS/MS , (Supplementary Data ).

Techniques: Metabolomic, Concentration Assay, Control

Journal: Nature Communications

Article Title: Cholesterol-lowering effects of oats induced by microbially produced phenolic metabolites in metabolic syndrome: a randomized controlled trial

doi: 10.1038/s41467-026-68303-9

Figure Lengend Snippet: Circos plot shows positive (green) and negative (black) correlations (cutoff r = ±0.7) between the selected variables in the five data sets along component 1 and 2 derived from the DIABLO evaluations (“models”) ( n = 28). a Model 1.1 includes the data sets gut microbiome composition (orange), clinical markers (violet), fecal metabolites (yellow), plasma metabolites (blue), and targeted plasma metabolomic profile (DHFA, FA) (grey). b Model 2.1 includes the data sets microbial pathways (orange), clinical markers (violet), fecal metabolites (yellow), plasma metabolites (blue), and targeted plasma metabolomic profile (DHFA, FA) (grey). a + b Intra-block correlations are not presented. c – e Scatter plots show the associations between the log fold changes in LDL-cholesterol and ( c ) selected plasma metabolites, ( d ) Erysipelotrichaceae UCG-003, ( e ) selected fecal metabolites in OG (presented as orange triangles) and CG (presented as blue circles). Pairwise correlations were assessed using Spearman’s rank correlation coefficient. a , b , d , e n = 28 (OG: n = 16, CG: n = 12). c n = 32 (OG: n = 17, CG: n = 15). ALT alanine aminotransferase, BMI body mass index, BER balanced error rate, BW body weight, CG control group, Comp component, DHFA dihydroferulic acid, DBP diastolic blood pressure, GFR glomerular filtration rate, FA ferulic acid, FM fat mass, LDL low-density lipoprotein cholesterol, NEFAs non-esterified fatty acids, OG oat group, SBP systolic blood pressure, TC total cholesterol. Source data are provided as a Source Data file.

Article Snippet: For both fasting plasma and fecal samples, non-targeted global metabolomic profiles before and after each intervention period were generated by Metabolon Inc. (Research Triangle) using UPLC-MS/MS , (Supplementary Data ).

Techniques: Derivative Assay, Clinical Proteomics, Metabolomic, Blocking Assay, Control, Filtration