Disentangling Sex Differences in Sulfonylurea Drug Response With Genome-Wide Association Studies in Individuals With Type 2 Diabetes. [PDF]
A sex‐stratified genome‐wide association study of sulfonylurea response identified sex‐specific genetic loci associated with HbA1c reduction in individuals with type 2 diabetes. Replication and functional validation supported a male‐specific association at the TMEM64/NECAB1 locus, highlighting the potential of sex‐informed pharmacogenomics to advance ...
Breeyear JH +16 more
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Sulfonylureas at the Glomerular Battlefield [PDF]
The kidney is important in the context of diabetes not only because it is involved in normal glucose homeostasis, but also because it is one of the most important end organs to be involved in diabetes complications. Glomeruli are the meeting point of both microvascular, or renal; and macrovascular, or cardiovascular, health in diabetes.
Kalra, Sanjay +3 more
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This review describes the basic and clinical pharmacology of sulfonylureas. It undertakes a balanced assessment of the advantages and limitations of sulfonylureas, and compares the use of various sulfonylureas in different clinical situations. The authors suggest pragmatic guidance to facilitate safe and effective use of this class of drugs, and thus ...
Sanjay, Kalra, Yashdeep, Gupta
openaire +1 more source
Ashcroft, S, Ashcroft, F
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Causal association between antidiabetic drug targets and risk of Bell's palsy: A 2-sample Mendelian randomization study. [PDF]
Lu K, Ye L, Yi X, He Y.
europepmc +1 more source
GLP-1 receptor agonists and risk of all cause and cause specific acute pancreatitis: target trial emulation. [PDF]
Xie Y, Choi T, Al-Aly Z.
europepmc +1 more source
Frailty-Informed Deprescribing of Glucose-Lowering Therapy in Older Adults with Type 2 Diabetes: A Pragmatic Clinical Framework. [PDF]
Rangraze IR +6 more
europepmc +1 more source
Antidiabetic Drug Associations With Heart Failure Outcomes: Real-World Evidence Study Using Electronic Health Records. [PDF]
Jodlowska-Siewert E +6 more
europepmc +1 more source
Analyzing longitudinal antidiabetic medication patterns: a data-driven clustering framework. [PDF]
Zhang P +4 more
europepmc +1 more source

