‘t Hart, L.M.* ; Nano, J. ; van der Heijden, A.A.W.A.* ; van Dijk, K.W.* ; Slieker, R.C.* ; Steyerberg, E.W.* ; Ikram, M.A.* ; Beekman, M.* ; Boomsa, D.I.* ; van Duijn, C.M.* ; Slagboom, P.E.* ; Stehouwer, C.D.A.* ; Schalkwijk, C.G.* ; Arts, I.C.W.* ; Dekker, J.M.* ; Dehghan, A.* ; Muka, T.* ; van der Kallen, C.J.H.* ; Nijpels, G.* ; Van Greevenbroek, M.M.J.*
Blood metabolomic measures associate with present and future glycemic control in type 2 diabetes.
J. Clin. Endocrinol. Metab. 103, 4569-4579 (2018)
Objective: We studied whether blood metabolomic measures in people with type 2 diabetes (T2D) are associated with insufficient glycemic control and whether this association is influenced differentially by various diabetes drugs. We then tested whether the same metabolomic profiles were associated with the initiation of insulin therapy.Methods: A total of 162 metabolomic measures were analyzed using a nuclear magnetic resonance-based method in people with T2D from four cohort studies (n = 2641) and one replication cohort (n = 395). Linear and logistic regression analyses with adjustment for potential confounders, followed by meta-analyses, were performed to analyze associations with hemoglobin A1c levels, six glucose-lowering drug categories, and insulin initiation during a 7-year follow-up period (n = 698).Results: After Bonferroni correction, 26 measures were associated with insufficient glycemic control (HbA1c >53 mmol/mol). The strongest association was with glutamine (OR, 0.66; 95% CI, 0.61 to 0.73; P = 7.6 x 10(-19)). In addition, compared with treatment-naive patients, 31 metabolomic measures were associated with glucose-lowering drug use (representing various metabolite categories; P <= 3.1 x 10(-4) for all). In drug-stratified analyses, associations with insufficient glycemic control were only mildly affected by different glucose-lowering drugs. Five of the 26 metabolomic measures (apolipoprotein A1 and medium high-density lipoprotein subclasses) were also associated with insulin initiation during follow-up in both discovery and replication. The strongest association was observed for medium high-density lipoprotein cholesteryl ester (OR, 0.54; 95% CI, 0.42 to 0.71; P = 4.5 x 10(-6)).Conclusion: Blood metabolomic measures were associated with present and future glycemic control and might thus provide relevant cues to identify those at increased risk of treatment failure.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Magnetic-resonance Metabolomics; Insulin-resistance; Amino-acids; Epidemiology; Hyperglycemia; Determinants; Progression; Predict; Design; Risk
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2018
Prepublished im Jahr
HGF-Berichtsjahr
2018
ISSN (print) / ISBN
0021-972X
e-ISSN
1945-7197
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 103,
Heft: 12,
Seiten: 4569-4579
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Endocrine Society
Verlagsort
Bethesda, Md.
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
90000 - German Center for Diabetes Research
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-002
G-501900-401
Förderungen
Copyright
Erfassungsdatum
2018-09-25