Publications by authors named "Cantin Baron"
Article Synopsis
- Metabolite genome-wide association studies (mGWAS) help uncover how genetics influence metabolite levels, but interpreting these associations is tough without effective tools.
- The authors introduce a new metric called shortest reactional distance (SRD) from the KEGG database to improve the biological interpretation of mGWAS results.
- Their research shows that SRD values correlate well with mGWAS findings and can help identify potential false negatives in existing metabolic pathway databases, making SRD a valuable tool for linking genetics to metabolism.
Article Synopsis
- * This research calculates the shortest reactional distance (SRD) using data from the KEGG database to enhance the interpretation of mGWAS results, demonstrating a correlation between SRD values and statistical significance.
- * The SRD metric could help identify potentially overlooked gene-metabolite associations and rectify inaccuracies in metabolic pathway databases, emphasizing its value as a reliable tool for integrating statistical data with biological networks.
Defects in fatty acid (FA) utilization have been well described in group 1 pulmonary hypertension (PH) and in heart failure (HF), yet poorly studied in group 2 PH. This study was to assess whether the metabolomic profile of patients with pulmonary hypertension (PH) due HF, classified as group 2 PH, differs from those without PH. We conducted a proof-of-principle cross-sectional analysis of 60 patients with chronic HF with reduced ejection fraction and 72 healthy controls in which the circulating level of 71 energy-related metabolites was measured using various methods.
View Article and Find Full Text PDF