Bioequivalence assessment of metformin hydrochloride using a limited sampling strategy
Abstract
OBJECTIVE: The aim of this study was to develop a limited sampling strategy (LSS) that can be used to assess the bioequivalence of two metformin hydrochloride preparations.
METHODS: Healthy subjects (n = 20) enrolled in the bioequivalence study received a single oral tablet of 1,000 mg metformin reference formulation or test formulation. The plasma concentration of metformin was determined using a validated HPLC method. A multiple linear regression analysis of the observed metformin Cmax and AUC0-24 versus the concentration of reference formulation was performed to develop LSS models for estimating these parameters. The models were internally validated by the Jackknife method. The best models were employed to assess the bioequivalence of the two metformin formulations.
RESULTS: The linear relationship between pharmacokinetic parameters and a single concentration point was poor. Several models for the estimation of these parameters met the predefined criteria (r2 > 0.9). The Jackknife validation procedure revealed that LSS models based on two sampling times - C1.5 and C2 for Cmax; C4.0 and C10.0 for AUC0-24 - were accurate predictor of Cmax and AUC0-24. Prediction errors (PE) were less than 2%, and absolute prediction errors (AE) were less than 10%. PEs beyond 15% occurred in less than 5% of total samples. The bioequivalence assessment of the two metformin formulations, based on the best LSS models, provided results similar to those obtained using all the observed…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 20 participants or records.
Read the paper
Related studies
- Metformin as an adjuvant in breast cancer treatment
- Metformin Lysosomal Targeting: A Novel Aspect to Be Investigated for Metformin Repurposing in Neurodegenerative Diseases?
- Aberrant HSF1 signaling activation underlies metformin amelioration of myocardial infarction in mice
- Metformin induces ZFP36 by mTORC1 inhibition in cervical cancer-derived cell lines
- Protein Interaction Network for Identifying Vascular Response of Metformin (Oral Antidiabetic)
- Preventing Long COVID With Metformin
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.