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:

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:

Journal: iScience

Article Title: Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results

doi: 10.1016/j.isci.2023.108473

Figure Lengend Snippet:

Article Snippet: Metabolomics profiling was performed at the Broad Institute, and appropriate statistical modelling was used to account for residual batch effects.

Techniques: Software

Journal: International Journal of Molecular Sciences

Article Title: Recent Advances of Microbiome-Associated Metabolomics Profiling in Liver Disease: Principles, Mechanisms, and Applications

doi: 10.3390/ijms22031160

Figure Lengend Snippet: Overview of the central dogma, including fundamentals and design principles for multi-omics profiling in systems biology. The genomics, transcriptomics, proteomics, and metabolomics provide learning about DNA, mRNA, proteins, and metabolites, respectively. The multi-omics profiling in systems biology is influenced via epigenetics, age, diet, lifestyle, drugs, toxins, etc. Bilateral flow of cellular signals is detected between the genome, transcriptome, proteome, and metabolome.

Article Snippet: The summary of metabolomic profiling systems (e.g., NMR, LC/GC-MS, CE-MS, HPLC) from various biofluids and clinical applications of liver fibrosis and cirrhosis is summarized in .

Techniques: Biomarker Discovery

Journal: International Journal of Molecular Sciences

Article Title: Recent Advances of Microbiome-Associated Metabolomics Profiling in Liver Disease: Principles, Mechanisms, and Applications

doi: 10.3390/ijms22031160

Figure Lengend Snippet: Historical development of publications in ( A ) metabolomics, and ( B ) liver diseases. Total sum of scientific publications between 2010 and 2020. The publications of metabolomics and liver diseases grew every year. All the data were accessed on PubMed on 21 September 2020.

Article Snippet: The summary of metabolomic profiling systems (e.g., NMR, LC/GC-MS, CE-MS, HPLC) from various biofluids and clinical applications of liver fibrosis and cirrhosis is summarized in .

Techniques:

Journal: International Journal of Molecular Sciences

Article Title: Recent Advances of Microbiome-Associated Metabolomics Profiling in Liver Disease: Principles, Mechanisms, and Applications

doi: 10.3390/ijms22031160

Figure Lengend Snippet: Proposed structure of symmetrical metabolomics experimental design for evaluating storage and quantitative metabolite analysis. Types of sample assessment: sample collections in tubes, data processing, statistics, and metabolic pathway analysis. The robotic high throughput metabolomics technique in liver and gut microbial/organic mixtures reveals their spectral complexity and their metabolic significance.

Article Snippet: The summary of metabolomic profiling systems (e.g., NMR, LC/GC-MS, CE-MS, HPLC) from various biofluids and clinical applications of liver fibrosis and cirrhosis is summarized in .

Techniques: High Throughput Screening Assay