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Metabolon Inc non targeted global metabolomic profiling
Non Targeted Global Metabolomic Profiling, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non+targeted+global+metabolomic+profiling/pm41651838-391-0-14?v=Metabolon+Inc
Average 86 stars, based on 1 article reviews
non targeted global metabolomic profiling - by Bioz Stars, 2026-08
86/100 stars

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Metabolon Inc non targeted global metabolomic profiling
Non Targeted Global Metabolomic Profiling, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non+targeted+global+metabolomic+profiling/pm41651838-391-0-14?v=Metabolon+Inc
Average 86 stars, based on 1 article reviews
non targeted global metabolomic profiling - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier

86
Metabolon Inc non targeted global metabolomic profiles
a Two-component sample plot of the sPLS-DA on the changes in the global plasma <t>metabolomic</t> 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.
Non Targeted Global Metabolomic Profiles, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non+targeted+global+metabolomic+profiling/pmc12808737-405-7-20?v=Metabolon+Inc
Average 86 stars, based on 1 article reviews
non targeted global metabolomic profiles - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier

90
Metabolon Inc non-targeted global metabolomic profiling
a Two-component sample plot of the sPLS-DA on the changes in the global plasma <t>metabolomic</t> 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.
Non Targeted Global Metabolomic Profiling, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non+targeted+global+metabolomic+profiling/pm39779805-198-0-19?v=Metabolon+Inc
Average 90 stars, based on 1 article reviews
non-targeted global metabolomic profiling - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

90
Metabolon Inc non-targeted global metabolomic profiling plasma feces
a Two-component sample plot of the sPLS-DA on the changes in the global plasma <t>metabolomic</t> 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.
Non Targeted Global Metabolomic Profiling Plasma Feces, supplied by Metabolon Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/non+targeted+global+metabolomic+profiling/bio_rxiv__2022__09__06__506855-197-7-11?v=Metabolon+Inc
Average 90 stars, based on 1 article reviews
non-targeted global metabolomic profiling plasma feces - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

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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.

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

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.

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

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.

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