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Biocrates metabolomics
Coefficient values of the logistic regression models built according to the criterion of minimal deviance on the first 30 ranked features. Each panel represents a regression model built on <t>metabolomics</t> data only (panel A), metabolomics and proteomics data (panel B) and on omics data and clinical parameters (panel C). Acronyms: P01034, Cystatin-C; P19823, Inter-alpha-trypsin inhibitor heavy chain H2; P06276, Cholinesterase; O75822, Attractin; P02746, Complement C1q subcomponent subunit B; P02745, Complement C1q subcomponent subunit A; P02790, Hemopexin; P20851, C4b-binding protein beta chain; CVP: Central Venous Pressure; PEEP: Positive End-expiratory pressure; PAC: PaCO 2 ; MAP: Mean Arterial Pressure.
Metabolomics, supplied by Biocrates, used in various techniques. Bioz Stars score: 92/100, based on 112 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Images

1) Product Images from "An Innovative Approach for The Integration of Proteomics and Metabolomics Data In Severe Septic Shock Patients Stratified for Mortality"

Article Title: An Innovative Approach for The Integration of Proteomics and Metabolomics Data In Severe Septic Shock Patients Stratified for Mortality

Journal: Scientific Reports

doi: 10.1038/s41598-018-25035-1

Coefficient values of the logistic regression models built according to the criterion of minimal deviance on the first 30 ranked features. Each panel represents a regression model built on metabolomics data only (panel A), metabolomics and proteomics data (panel B) and on omics data and clinical parameters (panel C). Acronyms: P01034, Cystatin-C; P19823, Inter-alpha-trypsin inhibitor heavy chain H2; P06276, Cholinesterase; O75822, Attractin; P02746, Complement C1q subcomponent subunit B; P02745, Complement C1q subcomponent subunit A; P02790, Hemopexin; P20851, C4b-binding protein beta chain; CVP: Central Venous Pressure; PEEP: Positive End-expiratory pressure; PAC: PaCO 2 ; MAP: Mean Arterial Pressure.
Figure Legend Snippet: Coefficient values of the logistic regression models built according to the criterion of minimal deviance on the first 30 ranked features. Each panel represents a regression model built on metabolomics data only (panel A), metabolomics and proteomics data (panel B) and on omics data and clinical parameters (panel C). Acronyms: P01034, Cystatin-C; P19823, Inter-alpha-trypsin inhibitor heavy chain H2; P06276, Cholinesterase; O75822, Attractin; P02746, Complement C1q subcomponent subunit B; P02745, Complement C1q subcomponent subunit A; P02790, Hemopexin; P20851, C4b-binding protein beta chain; CVP: Central Venous Pressure; PEEP: Positive End-expiratory pressure; PAC: PaCO 2 ; MAP: Mean Arterial Pressure.

Techniques Used: Binding Assay

Three-dimensional PLS-DA score plots on the first ranked 20 features for three different models. Each panel represents a model built on metabolomics data only (panel A), metabolomics and proteomics data (panel B) and on omics data and clinical parameters (panel C).
Figure Legend Snippet: Three-dimensional PLS-DA score plots on the first ranked 20 features for three different models. Each panel represents a model built on metabolomics data only (panel A), metabolomics and proteomics data (panel B) and on omics data and clinical parameters (panel C).

Techniques Used:

2) Product Images from "Interventional Left Atrial Appendage Closure Affects the Metabolism of Acylcarnitines"

Article Title: Interventional Left Atrial Appendage Closure Affects the Metabolism of Acylcarnitines

Journal: International Journal of Molecular Sciences

doi: 10.3390/ijms19020500

Metabolomic pathway of acylcarnitine utilization and influence of the left atrial appendage closure over the mid-term follow-up. ** indicate statistical significance after regression analysis ( p
Figure Legend Snippet: Metabolomic pathway of acylcarnitine utilization and influence of the left atrial appendage closure over the mid-term follow-up. ** indicate statistical significance after regression analysis ( p

Techniques Used:

3) Product Images from "Pharmacometabolomics study identifies circulating spermidine and tryptophan as potential biomarkers associated with the complete pathological response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer"

Article Title: Pharmacometabolomics study identifies circulating spermidine and tryptophan as potential biomarkers associated with the complete pathological response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer

Journal: Oncotarget

doi: 10.18632/oncotarget.9489

Partial least squares discrimination analysis (PLS-DA) graph used to distinguish the metabolomics profile of the two groups GR ( n = 15) and PR ( n = 19) Each point corresponds to the metabolomics profile of a patient.
Figure Legend Snippet: Partial least squares discrimination analysis (PLS-DA) graph used to distinguish the metabolomics profile of the two groups GR ( n = 15) and PR ( n = 19) Each point corresponds to the metabolomics profile of a patient.

Techniques Used:

4) Product Images from "Leucine Supplementation Protects from Insulin Resistance by Regulating Adiposity Levels"

Article Title: Leucine Supplementation Protects from Insulin Resistance by Regulating Adiposity Levels

Journal: PLoS ONE

doi: 10.1371/journal.pone.0074705

Plasma leucine levels and molecular changes induced by leucine supplementation in HFD-fed mice. ( A ) Plasma amino acids and ( B ) acylcarnitines deriving from leucine metabolism measured during the fed state in HFD-fed mice supplemented or not with leucine in drinking water (n = 9 per group). ( C and E ) mRNA expression levels of several markers of mitochondrial activity, fatty-acid metabolism and adrenergic β-receptor subtypes in the BAT (C) and WAT (E) of HFD-fed mice supplemented or not with leucine in drinking water (n = 5 per group). ( D ) Protein expression of UCP-3 in the BAT of HFD-fed mice supplemented or not with leucine in drinking water (n = 5 per group), β-actin loading control. C5: isovalerylcarnitine; C5-OH (C3-DC-M): hydroxyl-isovalerylcarnitine; C5-MDC: methylglutarylcarnitine; FC: fold change. * p
Figure Legend Snippet: Plasma leucine levels and molecular changes induced by leucine supplementation in HFD-fed mice. ( A ) Plasma amino acids and ( B ) acylcarnitines deriving from leucine metabolism measured during the fed state in HFD-fed mice supplemented or not with leucine in drinking water (n = 9 per group). ( C and E ) mRNA expression levels of several markers of mitochondrial activity, fatty-acid metabolism and adrenergic β-receptor subtypes in the BAT (C) and WAT (E) of HFD-fed mice supplemented or not with leucine in drinking water (n = 5 per group). ( D ) Protein expression of UCP-3 in the BAT of HFD-fed mice supplemented or not with leucine in drinking water (n = 5 per group), β-actin loading control. C5: isovalerylcarnitine; C5-OH (C3-DC-M): hydroxyl-isovalerylcarnitine; C5-MDC: methylglutarylcarnitine; FC: fold change. * p

Techniques Used: Mouse Assay, Expressing, Activity Assay

5) Product Images from "Pharmacometabolomics study identifies circulating spermidine and tryptophan as potential biomarkers associated with the complete pathological response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer"

Article Title: Pharmacometabolomics study identifies circulating spermidine and tryptophan as potential biomarkers associated with the complete pathological response to trastuzumab-paclitaxel neoadjuvant therapy in HER-2 positive breast cancer

Journal: Oncotarget

doi: 10.18632/oncotarget.9489

Partial least squares discrimination analysis (PLS-DA) graph used to distinguish the metabolomics profile of the two groups GR ( n = 15) and PR ( n = 19) Each point corresponds to the metabolomics profile of a patient.
Figure Legend Snippet: Partial least squares discrimination analysis (PLS-DA) graph used to distinguish the metabolomics profile of the two groups GR ( n = 15) and PR ( n = 19) Each point corresponds to the metabolomics profile of a patient.

Techniques Used:

6) Product Images from "Characterization of a metabolomic profile associated with responsiveness to therapy in the acute phase of septic shock"

Article Title: Characterization of a metabolomic profile associated with responsiveness to therapy in the acute phase of septic shock

Journal: Scientific Reports

doi: 10.1038/s41598-017-09619-x

Targeted metabolomics. Metabolites whose concentration (μM) from T1 to T2 in the two groups is statistically different. The figure shows only 4 metabolites as an example of those differing overtime (see Table 5 ). Box-plots in the top right corner show the differences in metabolite concentrations between T1 and T2, expressed as delta (Δ = T2 − T1). We did the Wilcoxon rank-sum test for the delta of the two groups and Wilcoxon signed rank between T1 and T2 in each group separately. Significant differences are marked with *(p-value
Figure Legend Snippet: Targeted metabolomics. Metabolites whose concentration (μM) from T1 to T2 in the two groups is statistically different. The figure shows only 4 metabolites as an example of those differing overtime (see Table 5 ). Box-plots in the top right corner show the differences in metabolite concentrations between T1 and T2, expressed as delta (Δ = T2 − T1). We did the Wilcoxon rank-sum test for the delta of the two groups and Wilcoxon signed rank between T1 and T2 in each group separately. Significant differences are marked with *(p-value

Techniques Used: Concentration Assay, Significance Assay

Untargeted metabolomics. Metabolites whose change in peak intensity from T1 to T2 in the two groups is statistically significant. Box-plots in the top right corner show differences in metabolite peak intensity between T1 and T2 expressed as delta (Δ = T2 − T1). We did the Wilcoxon rank-sum test for the delta of the two groups and Wilcoxon signed rank between T1 and T2 in each group separately. Significant differences are marked with *(p-value
Figure Legend Snippet: Untargeted metabolomics. Metabolites whose change in peak intensity from T1 to T2 in the two groups is statistically significant. Box-plots in the top right corner show differences in metabolite peak intensity between T1 and T2 expressed as delta (Δ = T2 − T1). We did the Wilcoxon rank-sum test for the delta of the two groups and Wilcoxon signed rank between T1 and T2 in each group separately. Significant differences are marked with *(p-value

Techniques Used: Significance Assay

Targeted metabolomics. Metabolites whose concentration (μM) is significantly different between responsive (R) and non-responsive (NR) patients at T2 (Wilcoxon rank-sum test p-value
Figure Legend Snippet: Targeted metabolomics. Metabolites whose concentration (μM) is significantly different between responsive (R) and non-responsive (NR) patients at T2 (Wilcoxon rank-sum test p-value

Techniques Used: Concentration Assay

Coefficients values of the logistic regression models for targeted metabolomics (panel A) and for integration of targeted and untargeted metabolomics (panel B).
Figure Legend Snippet: Coefficients values of the logistic regression models for targeted metabolomics (panel A) and for integration of targeted and untargeted metabolomics (panel B).

Techniques Used:

Untargeted metabolomics. Metabolites whose peak intensity is significantly different between responsive (R) and non-responsive (NR) patients at T2 (Wilcoxon rank-sum test p
Figure Legend Snippet: Untargeted metabolomics. Metabolites whose peak intensity is significantly different between responsive (R) and non-responsive (NR) patients at T2 (Wilcoxon rank-sum test p

Techniques Used:

Three-dimensional PLS-DA score plots on 20 features for targeted metabolomics model (panel A) and for targeted and untargeted metabolomics model (panel B).
Figure Legend Snippet: Three-dimensional PLS-DA score plots on 20 features for targeted metabolomics model (panel A) and for targeted and untargeted metabolomics model (panel B).

Techniques Used:

7) Product Images from "Interventional Left Atrial Appendage Closure Affects the Metabolism of Acylcarnitines"

Article Title: Interventional Left Atrial Appendage Closure Affects the Metabolism of Acylcarnitines

Journal: International Journal of Molecular Sciences

doi: 10.3390/ijms19020500

Metabolomic pathway of acylcarnitine utilization and influence of the left atrial appendage closure over the mid-term follow-up. ** indicate statistical significance after regression analysis ( p
Figure Legend Snippet: Metabolomic pathway of acylcarnitine utilization and influence of the left atrial appendage closure over the mid-term follow-up. ** indicate statistical significance after regression analysis ( p

Techniques Used:

Related Articles

Flow Cytometry:

Article Title: Metabolomic Fingerprint of Heart Failure with Preserved Ejection Fraction
Article Snippet: .. Combined direct flow injection and LC-MS/MS compound identification and quantification We applied a targeted quantitative metabolomic approach to analyze the serum samples using a commercially available metabolomics system (AbsoluteIDQ p180 Kit—BIOCRATES Life Sciences AG, Austria). .. This kit, in combination with an ABI 4000 Q-Trap (Applied Biosystems/MDS Sciex) mass spectrometer equipped with a reverse-phase HPLC column, can be used for the targeted identification and quantification of up to 180 different endogenous metabolites including amino acids, acylcarnitines, biogenic amines, glycerophospholipids, sphingolipids and sugars.

Article Title: Pre-Analytical Sample Quality: Metabolite Ratios as an Intrinsic Marker for Prolonged Room Temperature Exposure of Serum Samples
Article Snippet: .. Metabolomics measurements The targeted metabolomics approach was based on flow injection analysis—electrospray ionization—triple quadrupole mass spectrometry (FIA-ESI-MS/MS) using the AbsoluteIDQ p150 kit (Biocrates Life Sciences AG, Innsbruck, Austria). ..

Article Title: Unmasking Differential Effects of Rosiglitazone and Pioglitazone in the Combination Treatment with n-3 Fatty Acids in Mice Fed a High-Fat Diet
Article Snippet: .. Targeted metabolomics In order to characterise further differential effects of various treatments, plasma concentrations of 163 metabolites ( ) providing representative sets of amino acids, sugars, acylcarnitines and phospholipids were measured using flow injection analysis/thermospray mass spectrometry ( FIA-MS ) with Biocrates AbsoluteIDQ TM targeted metabolomics technology. ..

Injection:

Article Title: Metabolomic Fingerprint of Heart Failure with Preserved Ejection Fraction
Article Snippet: .. Combined direct flow injection and LC-MS/MS compound identification and quantification We applied a targeted quantitative metabolomic approach to analyze the serum samples using a commercially available metabolomics system (AbsoluteIDQ p180 Kit—BIOCRATES Life Sciences AG, Austria). .. This kit, in combination with an ABI 4000 Q-Trap (Applied Biosystems/MDS Sciex) mass spectrometer equipped with a reverse-phase HPLC column, can be used for the targeted identification and quantification of up to 180 different endogenous metabolites including amino acids, acylcarnitines, biogenic amines, glycerophospholipids, sphingolipids and sugars.

Article Title: Pre-Analytical Sample Quality: Metabolite Ratios as an Intrinsic Marker for Prolonged Room Temperature Exposure of Serum Samples
Article Snippet: .. Metabolomics measurements The targeted metabolomics approach was based on flow injection analysis—electrospray ionization—triple quadrupole mass spectrometry (FIA-ESI-MS/MS) using the AbsoluteIDQ p150 kit (Biocrates Life Sciences AG, Innsbruck, Austria). ..

Article Title: Unmasking Differential Effects of Rosiglitazone and Pioglitazone in the Combination Treatment with n-3 Fatty Acids in Mice Fed a High-Fat Diet
Article Snippet: .. Targeted metabolomics In order to characterise further differential effects of various treatments, plasma concentrations of 163 metabolites ( ) providing representative sets of amino acids, sugars, acylcarnitines and phospholipids were measured using flow injection analysis/thermospray mass spectrometry ( FIA-MS ) with Biocrates AbsoluteIDQ TM targeted metabolomics technology. ..

Mass Spectrometry:

Article Title: Pre-Analytical Sample Quality: Metabolite Ratios as an Intrinsic Marker for Prolonged Room Temperature Exposure of Serum Samples
Article Snippet: .. Metabolomics measurements The targeted metabolomics approach was based on flow injection analysis—electrospray ionization—triple quadrupole mass spectrometry (FIA-ESI-MS/MS) using the AbsoluteIDQ p150 kit (Biocrates Life Sciences AG, Innsbruck, Austria). ..

Article Title: Unmasking Differential Effects of Rosiglitazone and Pioglitazone in the Combination Treatment with n-3 Fatty Acids in Mice Fed a High-Fat Diet
Article Snippet: .. Targeted metabolomics In order to characterise further differential effects of various treatments, plasma concentrations of 163 metabolites ( ) providing representative sets of amino acids, sugars, acylcarnitines and phospholipids were measured using flow injection analysis/thermospray mass spectrometry ( FIA-MS ) with Biocrates AbsoluteIDQ TM targeted metabolomics technology. ..

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    Biocrates untargeted lc ms data
    Human malaria exhibits both common and distinct metabolite perturbations as compared with other febrile illnesses. ( A ) Criteria for enrollment in this study. ( B ) Unsupervised, global PCA plot of LC-MS features with data points representing individuals, shape and color-coded by disease categories: P . falciparum ( P . f ., red triangles), NMFI (light blue circles), and healthy (dark blue crosses). ( C ) Metabolic pathways significantly enriched in malaria compared with non-malaria using <t>untargeted</t> data (metabolic pathway analysis using mummichog , P
    Untargeted Lc Ms Data, supplied by Biocrates, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    90
    Biocrates lc ms ms targeted metabolomic analysis
    Experimental protocol. A, Cardioprotective effects of remote ischemic preconditioning ( RIPC ). In the myocardial infarction ( MI ) group, rats were subjected to 40 minutes of coronary occlusion followed by 120 minutes of reperfusion (n=8). In the RIPC + MI group (n=8), rats were subjected to RIPC achieved by a vascular clamp placed on the upper right femoral artery in order to induce 4 cycles of 5‐minute limb ischemia, interspersed with 5‐minute limb reperfusion before MI . Infarct size was assessed using 2,3,5‐triphenyltetrazolium chloride ( TTC ) staining. B, Schematic overview of experimental protocols applied for <t>metabolomic</t> analysis. In the exploratory stage, 20 rats were subjected to RIPC or a control procedure (exposure of upper right femoral artery without clamping). Blood was sampled immediately after the RIPC procedure in the RIPC group or 40 minutes after exposure of the femoral artery in the Control group. A targeted metabolomics analysis was conducted in order to find which metabolites potentially participate in the protection conferred by RIPC . In the confirmatory analysis, a set of 50 patients were subjected to RIPC achieved by 3 cycles of 5‐minute inflation to 200 mm Hg and 5‐minute deflation of an automated upper‐arm cuff inflator. Blood was sampled before and after RIPC . Based on the results of the exploratory analysis, amino acid chromatography was conducted on these samples in order to confirm changes of these metabolites in humans. C, Administration of potentially cardioprotective metabolites found in (B). MI was induced in rats as described in (A). In the treated groups (n=39), metabolites alone or in combination were injected intraperitoneally 10 minutes before coronary occlusion. In the Vehicle+ MI group, rats received vehicle only intraperitoneally (n=12).
    Lc Ms Ms Targeted Metabolomic Analysis, supplied by Biocrates, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Biocrates untargeted serum ms metabonomics targeted lc ms ms global metabonomic approach
    Metabolic signature of aging and longevity in serum. Targeted LC/MS <t>metabonomics</t> on the aging cohort (young, elderly, and centenarians) revealed three trends within the identified markers. (A) Set of metabolites that decreased/increased within age. (B) Set of metabolites that deceased or increased in centenarians only. (C) Set of metabolites maintained at similar concentration level in centenarians and young people but not in the elderly. Reported is median value in µM among the three age groups. Blue denotes negative/decreased concentration, orange denotes positive/increased correlation, black denotes no changes. All significantly regulated metabolites are listed in Table S3 .
    Untargeted Serum Ms Metabonomics Targeted Lc Ms Ms Global Metabonomic Approach, supplied by Biocrates, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Biocrates lanosterol
    Cholesterol synthesis is upregulated in HCT116/dtxA cells (A) mRNA expression levels of selected genes involved in regulation and synthesis of cholesterol, normalized to the housekeeping gene ACTB , are expressed as relative values compared to the parental cell line HCT116/wt (dashed line). Results are given as mean values from two experiments with each sample analyzed in duplicates by qRT-PCR. (B) Levels of free and esterified cholesterol in the parental and dtxA-resistant HCT116 cells were determined by gas chromatography. Means (± SD) of three independent experiments are given. (C) <t>Lanosterol</t> and selected oxysterols were determined via LC-MS/MS. Data of a single experiment, carried out in five replicates, were normalized to the respective levels of the parental HCT116/wt cell line (dashed line) and are shown as scatter plot with error bars (mean values ± SD). (D) Parental and dtxA-resistant cells were incubated with radioactively labeled acetate. Levels of de novo synthesized lanosterol and cholesterol were determined via thin layer chromatography. Means (± SD) of two independent experiments, performed in duplicates, are depicted. * p
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    Human malaria exhibits both common and distinct metabolite perturbations as compared with other febrile illnesses. ( A ) Criteria for enrollment in this study. ( B ) Unsupervised, global PCA plot of LC-MS features with data points representing individuals, shape and color-coded by disease categories: P . falciparum ( P . f ., red triangles), NMFI (light blue circles), and healthy (dark blue crosses). ( C ) Metabolic pathways significantly enriched in malaria compared with non-malaria using untargeted data (metabolic pathway analysis using mummichog , P

    Journal: JCI Insight

    Article Title: Distinct amino acid and lipid perturbations characterize acute versus chronic malaria

    doi: 10.1172/jci.insight.125156

    Figure Lengend Snippet: Human malaria exhibits both common and distinct metabolite perturbations as compared with other febrile illnesses. ( A ) Criteria for enrollment in this study. ( B ) Unsupervised, global PCA plot of LC-MS features with data points representing individuals, shape and color-coded by disease categories: P . falciparum ( P . f ., red triangles), NMFI (light blue circles), and healthy (dark blue crosses). ( C ) Metabolic pathways significantly enriched in malaria compared with non-malaria using untargeted data (metabolic pathway analysis using mummichog , P

    Article Snippet: To validate the metabolic pathway enrichments identified in untargeted LC-MS data, a targeted MS/MS approach combining LC-MS/MS and flow injection analysis (FIA-MS/MS) using reference compounds (Biocrates Life Sciences) was employed.

    Techniques: Liquid Chromatography with Mass Spectroscopy

    Shift in amino acid, lipid, and energy metabolism from acute to chronic disease in rhesus macaques. ( A ) Metabolic pathways significantly enriched in acute versus baseline (orange bars) and chronic versus acute phase (green bars) based on untargeted LC-MS data (metabolic pathway enrichment using mummichog , P

    Journal: JCI Insight

    Article Title: Distinct amino acid and lipid perturbations characterize acute versus chronic malaria

    doi: 10.1172/jci.insight.125156

    Figure Lengend Snippet: Shift in amino acid, lipid, and energy metabolism from acute to chronic disease in rhesus macaques. ( A ) Metabolic pathways significantly enriched in acute versus baseline (orange bars) and chronic versus acute phase (green bars) based on untargeted LC-MS data (metabolic pathway enrichment using mummichog , P

    Article Snippet: To validate the metabolic pathway enrichments identified in untargeted LC-MS data, a targeted MS/MS approach combining LC-MS/MS and flow injection analysis (FIA-MS/MS) using reference compounds (Biocrates Life Sciences) was employed.

    Techniques: Liquid Chromatography with Mass Spectroscopy

    Experimental protocol. A, Cardioprotective effects of remote ischemic preconditioning ( RIPC ). In the myocardial infarction ( MI ) group, rats were subjected to 40 minutes of coronary occlusion followed by 120 minutes of reperfusion (n=8). In the RIPC + MI group (n=8), rats were subjected to RIPC achieved by a vascular clamp placed on the upper right femoral artery in order to induce 4 cycles of 5‐minute limb ischemia, interspersed with 5‐minute limb reperfusion before MI . Infarct size was assessed using 2,3,5‐triphenyltetrazolium chloride ( TTC ) staining. B, Schematic overview of experimental protocols applied for metabolomic analysis. In the exploratory stage, 20 rats were subjected to RIPC or a control procedure (exposure of upper right femoral artery without clamping). Blood was sampled immediately after the RIPC procedure in the RIPC group or 40 minutes after exposure of the femoral artery in the Control group. A targeted metabolomics analysis was conducted in order to find which metabolites potentially participate in the protection conferred by RIPC . In the confirmatory analysis, a set of 50 patients were subjected to RIPC achieved by 3 cycles of 5‐minute inflation to 200 mm Hg and 5‐minute deflation of an automated upper‐arm cuff inflator. Blood was sampled before and after RIPC . Based on the results of the exploratory analysis, amino acid chromatography was conducted on these samples in order to confirm changes of these metabolites in humans. C, Administration of potentially cardioprotective metabolites found in (B). MI was induced in rats as described in (A). In the treated groups (n=39), metabolites alone or in combination were injected intraperitoneally 10 minutes before coronary occlusion. In the Vehicle+ MI group, rats received vehicle only intraperitoneally (n=12).

    Journal: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease

    Article Title: Metabolic Signature of Remote Ischemic Preconditioning Involving a Cocktail of Amino Acids and Biogenic Amines

    doi: 10.1161/JAHA.116.003891

    Figure Lengend Snippet: Experimental protocol. A, Cardioprotective effects of remote ischemic preconditioning ( RIPC ). In the myocardial infarction ( MI ) group, rats were subjected to 40 minutes of coronary occlusion followed by 120 minutes of reperfusion (n=8). In the RIPC + MI group (n=8), rats were subjected to RIPC achieved by a vascular clamp placed on the upper right femoral artery in order to induce 4 cycles of 5‐minute limb ischemia, interspersed with 5‐minute limb reperfusion before MI . Infarct size was assessed using 2,3,5‐triphenyltetrazolium chloride ( TTC ) staining. B, Schematic overview of experimental protocols applied for metabolomic analysis. In the exploratory stage, 20 rats were subjected to RIPC or a control procedure (exposure of upper right femoral artery without clamping). Blood was sampled immediately after the RIPC procedure in the RIPC group or 40 minutes after exposure of the femoral artery in the Control group. A targeted metabolomics analysis was conducted in order to find which metabolites potentially participate in the protection conferred by RIPC . In the confirmatory analysis, a set of 50 patients were subjected to RIPC achieved by 3 cycles of 5‐minute inflation to 200 mm Hg and 5‐minute deflation of an automated upper‐arm cuff inflator. Blood was sampled before and after RIPC . Based on the results of the exploratory analysis, amino acid chromatography was conducted on these samples in order to confirm changes of these metabolites in humans. C, Administration of potentially cardioprotective metabolites found in (B). MI was induced in rats as described in (A). In the treated groups (n=39), metabolites alone or in combination were injected intraperitoneally 10 minutes before coronary occlusion. In the Vehicle+ MI group, rats received vehicle only intraperitoneally (n=12).

    Article Snippet: LC‐MS‐/MS‐Targeted Metabolomic Analysis We applied a targeted quantitative metabolomic approach to analyze the rat plasma samples using the Biocrates AbsoluteIDQ ® p180 kit (Biocrates Life Sciences AG, Innsbruck, Austria).

    Techniques: Staining, Chromatography, Injection

    Metabolic signature of aging and longevity in serum. Targeted LC/MS metabonomics on the aging cohort (young, elderly, and centenarians) revealed three trends within the identified markers. (A) Set of metabolites that decreased/increased within age. (B) Set of metabolites that deceased or increased in centenarians only. (C) Set of metabolites maintained at similar concentration level in centenarians and young people but not in the elderly. Reported is median value in µM among the three age groups. Blue denotes negative/decreased concentration, orange denotes positive/increased correlation, black denotes no changes. All significantly regulated metabolites are listed in Table S3 .

    Journal: PLoS ONE

    Article Title: Metabolic Signatures of Extreme Longevity in Northern Italian Centenarians Reveal a Complex Remodeling of Lipids, Amino Acids, and Gut Microbiota Metabolism

    doi: 10.1371/journal.pone.0056564

    Figure Lengend Snippet: Metabolic signature of aging and longevity in serum. Targeted LC/MS metabonomics on the aging cohort (young, elderly, and centenarians) revealed three trends within the identified markers. (A) Set of metabolites that decreased/increased within age. (B) Set of metabolites that deceased or increased in centenarians only. (C) Set of metabolites maintained at similar concentration level in centenarians and young people but not in the elderly. Reported is median value in µM among the three age groups. Blue denotes negative/decreased concentration, orange denotes positive/increased correlation, black denotes no changes. All significantly regulated metabolites are listed in Table S3 .

    Article Snippet: Untargeted serum MS metabonomics Targeted LC-MS/MS global metabonomic approach on serum samples from the aging cohort ( ) was used by combining the Biocrates Life Sciences AbsoluteIDQ ™ kit for serum samples and was based on previously published work , .Well plate preparation and sample application and extraction were carried out according to the manufacturer's instructions.

    Techniques: Liquid Chromatography with Mass Spectroscopy, Concentration Assay

    Cholesterol synthesis is upregulated in HCT116/dtxA cells (A) mRNA expression levels of selected genes involved in regulation and synthesis of cholesterol, normalized to the housekeeping gene ACTB , are expressed as relative values compared to the parental cell line HCT116/wt (dashed line). Results are given as mean values from two experiments with each sample analyzed in duplicates by qRT-PCR. (B) Levels of free and esterified cholesterol in the parental and dtxA-resistant HCT116 cells were determined by gas chromatography. Means (± SD) of three independent experiments are given. (C) Lanosterol and selected oxysterols were determined via LC-MS/MS. Data of a single experiment, carried out in five replicates, were normalized to the respective levels of the parental HCT116/wt cell line (dashed line) and are shown as scatter plot with error bars (mean values ± SD). (D) Parental and dtxA-resistant cells were incubated with radioactively labeled acetate. Levels of de novo synthesized lanosterol and cholesterol were determined via thin layer chromatography. Means (± SD) of two independent experiments, performed in duplicates, are depicted. * p

    Journal: Oncotarget

    Article Title: Altered membrane rigidity via enhanced endogenous cholesterol synthesis drives cancer cell resistance to destruxins

    doi: 10.18632/oncotarget.25432

    Figure Lengend Snippet: Cholesterol synthesis is upregulated in HCT116/dtxA cells (A) mRNA expression levels of selected genes involved in regulation and synthesis of cholesterol, normalized to the housekeeping gene ACTB , are expressed as relative values compared to the parental cell line HCT116/wt (dashed line). Results are given as mean values from two experiments with each sample analyzed in duplicates by qRT-PCR. (B) Levels of free and esterified cholesterol in the parental and dtxA-resistant HCT116 cells were determined by gas chromatography. Means (± SD) of three independent experiments are given. (C) Lanosterol and selected oxysterols were determined via LC-MS/MS. Data of a single experiment, carried out in five replicates, were normalized to the respective levels of the parental HCT116/wt cell line (dashed line) and are shown as scatter plot with error bars (mean values ± SD). (D) Parental and dtxA-resistant cells were incubated with radioactively labeled acetate. Levels of de novo synthesized lanosterol and cholesterol were determined via thin layer chromatography. Means (± SD) of two independent experiments, performed in duplicates, are depicted. * p

    Article Snippet: LC-MS analysis of lanosterol and oxysterols was performed at Biocrates with an in-house assay for oxysterols (Biocrates Life Sciences AG, Innsbruck, Austria).

    Techniques: Expressing, Quantitative RT-PCR, Gas Chromatography, Liquid Chromatography with Mass Spectroscopy, Mass Spectrometry, Incubation, Labeling, Synthesized, Thin Layer Chromatography