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Traffic Analysis Reveals the Impact of Dietary Intake on Lipid Metabolism

Plasma‐plasma comparisons are the mainstay of investigations of the molecular origins of disease. However, a variety of conditions and phenotypes, including most metabolic disease, arise because of system‐wide changes. It is not possible to characterise these from the molecular composition of the circulation alone. We therefore devised a novel analytical approach to be able to understand system‐wide changes in molecular metabolism. The computational tool we have developed is called Lipid Traffic Analysis (LTA). This was used to test the hypothesis that altered paternal diet programmed the lipid metabolism in offspring. Detailed lipid profiles were acquired from serum, liver, brain, heart and abdominal adipose tissues from F1 neonate (3 weeks), F1 adult (16 weeks) and F2 neonate offspring. LTA characterised the number, type and abundance of lipid variables in and between tissues, finding a variety of reprogrammings associated with a high carbohydrate paternal diet. These results are important because they describe the long‐term metabolic result of parental dietary intake not ascribed to mothers. The novel analytical tool used is important because it offers unparalleled insight into possible mechanisms for alterations in lipid metabolism throughout organisms. We are currently using Lipid Traffic Analysis to answer questions about changes to lipid metabolism in maternally‐driven nutritional programming in mice and diet‐driven changes in both lipid and sterol metabolism in honeybees.