Novel measures of DNL to assess its role in human insulin resistance_1

  • Research type

    Research Study

  • Full title

    Novel non-invasive assessment of de novo lipogenesis and its mechanistic role in human insulin resistance

  • IRAS ID

    296686

  • Contact name

    Alison Sleigh

  • Contact email

    as626@cam.ac.uk

  • Sponsor organisation

    Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge

  • Duration of Study in the UK

    2 years, 9 months, 12 days

  • Research summary

    Insulin resistance is closely associated with an accumulation of fat stored in the liver and skeletal muscle. There is growing evidence to suggest a process called de novo lipogenesis (DNL), where fat is generated from excess sugars, is involved in the development of insulin resistance. There are no non-invasive ways to measure the storage of fat from DNL, and taking a biopsy sample from the liver carries substantial risk. Therefore investigations into the storage of DNL-generated fats has been significantly limited.
    Aim
    To develop a non-invasive method to measure the storage of DNL-generated fats, and to use this to safely examine the relevance of this fat storage in human insulin resistance.
    Approach
    Magnetic Resonance Spectroscopy (MRS) is a completely non-invasive technique that uses an MRI scanner to generate biochemical information from inside the body. This can tell us about the composition of the tissue and, for example, can measure how much fat it contains. However, normal methods can not distinguish DNL-generated fat from other fat, and so here we plan to design and validate a new special MRS method that will be able to do this. Using both insulin resistant patients and healthy individuals, we shall utilise this new method to investigate the role of DNL-stored fats in the mechanisms of insulin resistance.
    Importance
    Non-invasive methods to measure the storage of DNL-generated fats will safely enable the investigation of the relevance of stored DNL-fats in human insulin resistance. Understanding such mechanisms is key to preventing a number of metabolic diseases including diabetes, heart and fatty liver disease.

  • REC name

    East of England - Cambridge Central Research Ethics Committee

  • REC reference

    22/EE/0282

  • Date of REC Opinion

    4 Jan 2023

  • REC opinion

    Further Information Favourable Opinion