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Transporters, TBC1D4, and ARID5B Variants to Explain Glycated Hemoglobin Variability in Patients with Type 2 Diabetes.
Gonzalez-Covarrubias, Vanessa; Sánchez-Ibarra, Héctor; Lozano-Gonzalez, Karla; Villicaña, Sergio; Texis, Tomas; Rodríguez-Dorantes, Mauricio; Cortés-Ramírez, Sergio; Lavalle-Gonzalez, Fernando; Soberón, Xavier; Barrera-Saldaña, Hugo.
Affiliation
  • Gonzalez-Covarrubias V; Pharmacogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Sánchez-Ibarra H; Genetics Laboratory, Vitagénesis, Monterrey, Mexico.
  • Lozano-Gonzalez K; Pharmacogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Villicaña S; Pharmacogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Texis T; Pharmacogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Rodríguez-Dorantes M; Oncogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Cortés-Ramírez S; Oncogenomics Laboratory, Instituto Nacional de Medicina Genómica, CDMX, Mexico.
  • Lavalle-Gonzalez F; University Hospital Dr. José E. González, Endocrinology, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico.
  • Soberón X; Instituto de Biotecnología, Universidad Autónoma de México, UNAM, Cuernavaca, Mexico.
  • Barrera-Saldaña H; Genetics Laboratory, Vitagénesis, Monterrey, Mexico.
Pharmacology ; 106(11-12): 588-596, 2021.
Article in En | MEDLINE | ID: mdl-34265779
ABSTRACT

INTRODUCTION:

Genetic variants could aid in predicting antidiabetic drug response by associating them with markers of glucose control, such as glycated hemoglobin (HbA1c). However, pharmacogenetic implementation for antidiabetics is still under development, as the list of actionable markers is being populated and validated. This study explores potential associations between genetic variants and plasma levels of HbA1c in 100 patients under treatment with metformin.

METHODS:

HbA1c was measured in a clinical chemistry analyzer (Roche), genotyping was performed in an Illumina-GSA array and data were analyzed using PLINK. Association and prediction models were developed using R and a 10-fold cross-validation approach.

RESULTS:

We identified genetic variants on SLC47A1, SLC28A1, ABCG2, TBC1D4, and ARID5B that can explain up to 55% of the interindividual variability of HbA1c plasma levels in diabetic patients under treatment. Variants on SLC47A1, SLC28A1, and ABCG2 likely impact the pharmacokinetics (PK) of metformin, while the role of the two latter can be related to insulin resistance and regulation of adipogenesis.

CONCLUSIONS:

Our results confirm previous genetic associations and point to previously unassociated gene variants for metformin PK and glucose control.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Glycated Hemoglobin / GTPase-Activating Proteins / Diabetes Mellitus, Type 2 / DNA-Binding Proteins / Hypoglycemic Agents / Metformin Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Pharmacology Year: 2021 Document type: Article Affiliation country: Mexico

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Glycated Hemoglobin / GTPase-Activating Proteins / Diabetes Mellitus, Type 2 / DNA-Binding Proteins / Hypoglycemic Agents / Metformin Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Pharmacology Year: 2021 Document type: Article Affiliation country: Mexico
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