Prediction of glycated hemoglobin levels at 3 months after metabolic surgery based on the 7-day plasma metabolic profile

PLoS One. 2014 Nov 10;9(11):e109609. doi: 10.1371/journal.pone.0109609. eCollection 2014.

Abstract

Metabolic surgery has been shown to provide better glycemic control for type 2 diabetes than conventional therapies. Still, the outcomes of the surgery are variable, and prognostic markers reflecting the metabolic changes by the surgery are yet to be established. NMR-based plasma metabolomics followed by multivariate regression was used to test the correlation between the metabolomic profile at 7-days after surgery and glycated hemoglobin (HbA1c) levels at 3-months (and up to 12 months with less patients), and to identify the relevant markers. Metabolomic profiles at 7-days could differentiate the patients according to the HbA1c improvement status at 3-months. The HbA1c values were predicted based on the metabolomics profile with partial least square regression, and found to be correlated with the observed values. Metabolite analysis suggested that 3-Hydroxybutyrate (3-HB) and glucose contributes to this prediction, and the [3-HB]/[glucose] exhibited a modest to good correlation with the HbA1c level at 3-months. The prediction of 3-month HbA1c using 7-day metabolomic profile and the suggested new criterion [3-HB]/[glucose] could augment current prognostic modalities and help clinicians decide if drug therapy is necessary.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bariatric Surgery / statistics & numerical data*
  • Biomarkers / blood*
  • Diabetes Mellitus, Type 2 / surgery*
  • Glycated Hemoglobin / analysis*
  • Glycated Hemoglobin / metabolism
  • Humans
  • Least-Squares Analysis
  • Magnetic Resonance Spectroscopy
  • Metabolomics / methods
  • Models, Biological
  • Prognosis
  • Republic of Korea
  • Time Factors

Substances

  • Biomarkers
  • Glycated Hemoglobin A
  • hemoglobin A1c protein, human

Grants and funding

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012011362, 2014009392, and 2009-93144), and by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1420290). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.