Modeling Longitudinal Metabonomics and Microbiota Interactions in C57BL/6 Mice Fed a High Fat Diet

• Published in: Analytical chemistry (Washington) Vol. 88; no. 15; pp. 7617 - 7626
• Main Authors: Montoliu, Ivan, Cominetti, Ornella, Boulangé, Claire L., Berger, Bernard, Siddharth, Jay, Nicholson, Jeremy, Martin, François-Pierre J.
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 02.08.2016
• Subjects: Animals; Bacteria - genetics; Bacteria - isolation & purification; Body Weight; Diet, High-Fat; Feces - microbiology; Least-Squares Analysis; Longitudinal Studies; Magnetic Resonance Spectroscopy; Male; Metabolome; Metabolomics; Mice; Mice, Inbred C57BL; Microbiota; Principal Component Analysis; RNA, Ribosomal, 16S - chemistry; RNA, Ribosomal, 16S - genetics; RNA, Ribosomal, 16S - metabolism; Sequence Analysis, DNA; Urinalysis

Longitudinal studies aim typically at following populations of subjects over time and are important to understand the global evolution of biological processes. When it comes to longitudinal omics data, it will often depend on the overall objective of the study, and constraints imposed by the data, t...