TY - JOUR
T1 - Metformin and statin use associate with plasma protein N -glycosylation in people with type 2 diabetes
AU - Singh, Sunny S.
AU - Naber, Annemieke
AU - Dotz, Viktoria
AU - Schoep, Emma
AU - Memarian, Elham
AU - Slieker, Roderick C.
AU - Elders, Petra J.M.
AU - Vreeker, Gerda
AU - Nicolardi, Simone
AU - Wuhrer, Manfred
AU - Sijbrands, Eric J.G.
AU - Lieverse, Aloysius G.
AU - T'Hart, Leen M.
AU - Van Hoek, Mandy
PY - 2020/7/2
Y1 - 2020/7/2
N2 - Introduction Recent studies revealed N-glycosylation signatures of type 2 diabetes, inflammation and cardiovascular risk factors. Most people with diabetes use medication to reduce cardiovascular risk. The association of these medications with the plasma N-glycome is largely unknown. We investigated the associations of metformin, statin, ACE inhibitor/angiotensin II receptor blocker (ARB), sulfonylurea (SU) derivatives and insulin use with the total plasma N-glycome in type 2 diabetes. Research design and methods After enzymatic release from glycoproteins, N-glycans were measured by matrix-assisted laser desorption/ionization mass spectrometry in the DiaGene (n=1815) and Hoorn Diabetes Care System (n=1518) cohorts. Multiple linear regression was used to investigate associations with medication, adjusted for clinical characteristics. Results were meta-analyzed and corrected for multiple comparisons. Results Metformin and statins were associated with decreased fucosylation and increased galactosylation and sialylation in glycans unrelated to immunoglobulin G. Bisection was increased within diantennary fucosylated non-sialylated glycans, but decreased within diantennary fucosylated sialylated glycans. Only few glycans were associated with ACE inhibitor/ARBs, while none associated with insulin and SU derivative use. Conclusions We conclude that metformin and statins associate with a total plasma N-glycome signature in type 2 diabetes. Further studies are needed to determine the causality of these relations, and future N-glycomic research should consider medication a potential confounder.
AB - Introduction Recent studies revealed N-glycosylation signatures of type 2 diabetes, inflammation and cardiovascular risk factors. Most people with diabetes use medication to reduce cardiovascular risk. The association of these medications with the plasma N-glycome is largely unknown. We investigated the associations of metformin, statin, ACE inhibitor/angiotensin II receptor blocker (ARB), sulfonylurea (SU) derivatives and insulin use with the total plasma N-glycome in type 2 diabetes. Research design and methods After enzymatic release from glycoproteins, N-glycans were measured by matrix-assisted laser desorption/ionization mass spectrometry in the DiaGene (n=1815) and Hoorn Diabetes Care System (n=1518) cohorts. Multiple linear regression was used to investigate associations with medication, adjusted for clinical characteristics. Results were meta-analyzed and corrected for multiple comparisons. Results Metformin and statins were associated with decreased fucosylation and increased galactosylation and sialylation in glycans unrelated to immunoglobulin G. Bisection was increased within diantennary fucosylated non-sialylated glycans, but decreased within diantennary fucosylated sialylated glycans. Only few glycans were associated with ACE inhibitor/ARBs, while none associated with insulin and SU derivative use. Conclusions We conclude that metformin and statins associate with a total plasma N-glycome signature in type 2 diabetes. Further studies are needed to determine the causality of these relations, and future N-glycomic research should consider medication a potential confounder.
KW - glycosylated proteins
KW - glycosylation
KW - lipid medication
KW - metformin
UR - http://www.scopus.com/inward/record.url?scp=85087473277&partnerID=8YFLogxK
U2 - https://doi.org/10.1136/bmjdrc-2020-001230
DO - https://doi.org/10.1136/bmjdrc-2020-001230
M3 - Article
C2 - 32616483
SN - 2052-4897
VL - 8
JO - BMJ Open Diabetes Research and Care
JF - BMJ Open Diabetes Research and Care
IS - 1
M1 - 001230
ER -