Data related to metabolic profiling to identify insulin resistance in veal calves

  • Andre Pantophlet (Creator)
  • Han Roelofsen (Creator)
  • Marcel P. de Vries (Creator)
  • Walter J. J. Gerrits (Creator)
  • Joost J. G. C. van den Borne (Creator)
  • Roel J. Vonk (Creator)

    Dataset

    Description

    Heavy veal calves (4-6 months old) are at risk of developing insulin resistance and disturbed glucose homeostasis. Prolonged insulin resistance could lead to metabolic disorders and impaired growth performance. Recently, we discovered that heavy Holstein-Friesian calves raised on a high-lactose or high-fat diet did not differ in insulin sensitivity, that insulin sensitivity was low and 50% of the calves could be considered insulin resistant. Understanding the patho-physiological mechanisms underlying insulin resistance and discovering bio-markers for early diagnosis would be useful for developing prevention strategies. Therefore, we explored plasma metabolic profiling techniques to build models and discover potential biomarkers and pathways that can distinguish between insulin resistant and moderately insulin sensitive veal calves. The calves (n = 14) were classified as insulin resistant (IR) or moderately insulin sensitive (MIS) based on results from a euglycemic-hyperinsulinemic clamp, using a cut-off value (M/I-value 90% and Q(2)Y >66%), which allowed discrimination between MIS and IR calves. A total of 7 and 20 metabolic features (for RPLC-MS and HILIC-LC-MS respectively) were most responsible for group separation.
    Datum van beschikbaarheid15-jun-2017
    UitgeverUniversity of Groningen

    Citeer dit