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ms-based metabolomic profiling  (Metabolon Inc)

 
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    Metabolon Inc ms-based metabolomic profiling
    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Ms Based 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/result/ms-based metabolomic profiling/product/Metabolon Inc
    Average 90 stars, based on 1 article reviews
    ms-based metabolomic profiling - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study"

    Article Title: Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study

    Journal: International Journal of Molecular Sciences

    doi: 10.3390/ijms25042247

    Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Figure Legend Snippet: Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.

    Techniques Used:

    The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.
    Figure Legend Snippet: The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.

    Techniques Used:



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    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
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    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
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    Chemometric analysis of <t>metabolomic</t> data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.
    Ms Based Metabolomics 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/result/ms-based metabolomics profiling/product/Metabolon Inc
    Average 90 stars, based on 1 article reviews
    ms-based metabolomics profiling - by Bioz Stars, 2026-05
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    Image Search Results


    Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.

    Journal: International Journal of Molecular Sciences

    Article Title: Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study

    doi: 10.3390/ijms25042247

    Figure Lengend Snippet: Chemometric analysis of metabolomic data sets of the DM and DACD samples. ( A ) Score plot of the orthogonal partial least squares discriminant analysis (OPLSDA) model. The pink and green dots represent the DM and DACD samples, respectively. ( B ) Results of the 1000-time permutation test of the OPLSDA model; the empirical p -values for R2Y and Q2 were all <0.001. ( C ) Top 30 metabolites important for the separation between the DM and DACD samples based on the VIP score. Red and blue colors on the scale on the right indicate upregulation and downregulation in the respective group.

    Article Snippet: MS-based metabolomic profiling was conducted on the Metabolon platform in Doha, Qatar.

    Techniques:

    The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.

    Journal: International Journal of Molecular Sciences

    Article Title: Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study

    doi: 10.3390/ijms25042247

    Figure Lengend Snippet: The results of pathway analysis and enrichment analysis of the metabolomic data. ( A ) Enrichment analysis based on the Small Molecule Pathway Database (SMPDB). ( B ) Pathway analysis based on the KEGG database.

    Article Snippet: MS-based metabolomic profiling was conducted on the Metabolon platform in Doha, Qatar.

    Techniques: