The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The pharmacogenetics of metformin and its impact on plasma metformin steady-state levels and glycosylated hemoglobin A1c
Abstract
OBJECTIVE: The aim of this study was to evaluate the effect of genetic variations in OCT1, OCT2, MATE1, MATE 2, and PMAT on the trough steady-state plasma concentration of metformin and hemoglobin A1c (Hb1Ac). METHOD: The South Danish Diabetes Study was a 2 x 2 x 2 factorial, prospective, randomized, double-blind, placebo-controlled, multicentre study. One hundred and fifty-nine patients received 1 g of metformin, twice daily continuously, and 415 repeated plasma metformin measurements were obtained after 3, 6, and 9 months of treatment. RESULTS: The mean trough steady-state metformin plasma concentration was estimated to be 576 ng/ml (range, 54–4133 ng/ml, p = 0.55) and correlated to the number of reduced function alleles in OCT1 (none, one or two: 642, 542, 397 ng/ml; P = 0.001). The absolute decrease in Hb1Ac both initially and long term was also correlated to the number of reduced function alleles in OCT1 resulting in diminished pharmacodynamic effect of metformin after 6 and 24 months. CONCLUSION: In a large cohort of type 2 diabetics, we either confirm or show for the first time: (a) an enormous (80-fold) variability in trough steady-state metformin plasma concentration, (b) OCT1 activity affects metformin steady-state pharmacokinetics, and (c) OCT1 genotype has a bearing on HbA1c during metformin treatment.
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Cites
Prediction of Creatinine Clearance from Serum Creatinine
Cockcroft, D. W., & Gault, H. (1976) · Nephron · doi:10.1159/000180580 · Cited by 15,309
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bth457 · Cited by 14,525
A New Statistical Method for Haplotype Reconstruction from Population Data
Stephens, M., Smith, N. J., & Donnelly, P. (2001) · The American Journal of Human Genetics · doi:10.1086/319501 · Cited by 7,493
Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy
Kahn, S. E., Haffner, S. M., Heise, M. A., Herman, W. H., Holman, R. R., Jones, N. P., Kravitz, B. G., Lachin, J. M., O'Neill, M. C., Zinman, B., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa066224 · Cited by 2,962
The Kinase LKB1 Mediates Glucose Homeostasis in Liver and Therapeutic Effects of Metformin
Shaw, R. J., Lamia, K. A., Vasquez, D., Koo, S.-H., Bardeesy, N., DePinho, R. A., Montminy, M., & Cantley, L. C. (2005) · Science · doi:10.1126/science.1120781 · Cited by 1,950
A Sequencing Method Based on Real-Time Pyrophosphate
Ronaghi, M., Uhlén, M., & Nyrén, P. (1998) · Science · doi:10.1126/science.281.5375.363 · Cited by 1,630
Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation
Stephens, M., & Scheet, P. (2005) · The American Journal of Human Genetics · doi:10.1086/428594 · Cited by 1,349
Clinical pharmacokinetics of metformin
Graham, G. G., Punt, J., Arora, M., Day, R. O., Doogue, M. P., Duong, J. K., Furlong, T. J., Greenfield, J. R., Greenup, L. C., Kirkpatrick, C. M., et al. (2011) · Clinical Pharmacokinetics · doi:10.2165/11534750-000000000-00000 · Cited by 1,318
Koepsell, H., Lips, K., & Volk, C. (2007) · Pharmaceutical Research · doi:10.1007/s11095-007-9254-z · Cited by 988
Research works printed but not linked: 3
- Zhou, 2007, Molecular determinants of substrate selectivity of a novel organic cation transporter (PMAT) in the SLC29 family., J Biol Chem, 282, 3188, 10.1074/jbc.M609421200 · doi:10.1074/jbc.m609421200
- Choi, 2009, Identification and characterization of novel polymorphisms in the basal promoter of the human transporter, MATE1., Pharmacogenet Genomics, 19, 770, 10.1097/FPC.0b013e328330eeca · doi:10.1097/fpc.0b013e328330eeca
- Kajiwara, 2009, Identification of multidrug and toxin extrusion (MATE1 and MATE2-K) variants with complete loss of transport activity., J Hum Genet, 54, 40, 10.1038/jhg.2008.1 · doi:10.1038/jhg.2008.1
Cited by
Metformin and the gastrointestinal tract
McCreight, L. J., Bailey, C. J., & Pearson, E. R. (2016) · Diabetologia · doi:10.1007/s00125-015-3844-9 · Cited by 733
Understanding the glucoregulatory mechanisms of metformin in type 2 diabetes mellitus
Foretz, M., Guigas, B., & Viollet, B. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0242-2 · Cited by 686
Metformin pathways: pharmacokinetics and pharmacodynamics
Gong, L., Goswami, S., Giacomini, K. M., Altman, R. B., & Klein, T. E. (2012) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e3283559b22 · Cited by 495
Molecular mechanism of action of metformin: old or new insights?
Rena, G., Pearson, E. R., & Sakamoto, K. (2013) · Diabetologia · doi:10.1007/s00125-013-2991-0 · Cited by 479
Kordes, S., Pollak, M. N., Zwinderman, A. H., Mathôt, R. A., Weterman, M. J., Beeker, A., Punt, C. J., Richel, D. J., & Wilmink, J. W. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00027-3 · Cited by 361
Metadata
- Authors
- Christensen, M. M. H., Brasch-Andersen, C., Green, H., Nielsen, F., Damkier, P., Beck-Nielsen, H., & Brosen, K.
- Venue
- Pharmacogenetics and Genomics
- Published
- 2011-12
- Volume
- 21
- Issue
- 12
- Pages
- 837-850
- ISSN
- 1744-6872 (ISSN-L)
- OpenAlex
- W1996510156
- Cited by
- 259
- References
- 43
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Christensen, M. M. H., Brasch-Andersen, C., Green, H., Nielsen, F., Damkier, P., Beck-Nielsen, H., & Brosen, K. (2011). The pharmacogenetics of metformin and its impact on plasma metformin steady-state levels and glycosylated hemoglobin A1c. Pharmacogenetics and Genomics. https://doi.org/10.1097/fpc.0b013e32834c0010
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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