A rapid, sensitive and stable high-performance liquid chromatography (HPLC) method was developed and validated for the simultaneous determination of morniflumate and its major active metabolite, niflumic acid, in human plasma. HPLC analysis was carried out using a 5 µm particle size, C18 -bonded silica column with a mixture of acetonitrile and 0.005 m potassium phosphate monobasic in water (60:40, v/v) as the mobile phase and UV detection at 287 nm. The method involved the treatment with 50 μL of 0.4 m hydrochloric acid for the stability of morniflumate, extraction with diethylether and evaporation to dryness under a nitrogen stream. The lower limit of quantitation for morniflumate and niflumic acid was 50 and 500 ng/mL, respectively. The calibration curves for morniflumate and niflumic acid were linear over the concentration range of 50-20,000 ng/mL and 500-50,000 ng/mL, respectively, with correlation coefficients greater than 0.9995 and inter- or intra-batch coefficients of variation not exceeding 13.79%. The variability (percentage difference) of incurred sample re-analysis did not exceed 11.72% and all of the repeat samples fell within 20% of the mean value. This assay procedure was applied successfully to an examination of the pharmacokinetics of morniflumate and its metabolite, niflumic acid, in human subjects.

Download full-text PDF

Source
http://dx.doi.org/10.1002/bmc.2940DOI Listing

Publication Analysis

Top Keywords

niflumic acid
20
metabolite niflumic
12
acid human
12
simultaneous determination
8
determination morniflumate
8
morniflumate major
8
major active
8
active metabolite
8
human plasma
8
high-performance liquid
8

Similar Publications

Degradation of fenamates.

Profiles Drug Subst Excip Relat Methodol

January 2025

Department of Pharmaceutical Chemistry, Baqai Institute of Pharmaceutical Sciences, Baqai Medical University, Karachi, Pakistan.

Fenamates are the most crucial non-steroidal anti-inflammatory drugs (NSAIDs) used to treat pain-related diseases. The clinically prescribed drugs of the fenamate group include mefenamic acid, tolfenamic acid, meclofenamic acid, flufenamic acid, and niflumic acid. Due to their widespread use, all these drugs are considered as the most common water and sewerage pollutants.

View Article and Find Full Text PDF

YAP/TAZ Inhibitor-Based Drug Delivery System for Selective Tumor Accumulation and Cancer Combination Therapy.

Biomacromolecules

January 2025

Department of Pharmaceutical Sciences, College of Pharmacy, University of Nebraska Medical Center, Omaha, Nebraska 68198, United States.

Article Synopsis
  • YAP and TAZ are crucial coactivators often overactive in cancer, promoting tumor growth and resistance to treatments.
  • Niflumic acid (NA), a known inhibitor of YAP/TAZ, has poor effectiveness due to its short half-life, prompting the development of NA-based prodrug polymers to improve its bioavailability.
  • The selected NA polymer formed micellar nanocarriers that effectively targeted tumors and worked alongside receptor tyrosine kinase inhibitors (RTKIs) like Dasatinib, enhancing breast cancer therapy outcomes.
View Article and Find Full Text PDF

Transcriptional enhanced associate domain (TEAD) transcription factors undergo auto-palmitoylation, which is critical to mediate their function and maintain stability. Targeting the palmitate binding pocket of TEAD holds considerable promise for drug discovery, and it can be characterised into three components: a conserved cysteine, a hydrophobic main pocket, and a hydrophilic side pocket. Endogenous palmitate and several known TEAD inhibitors interact with the cysteine and hydrophobic residues in the deep hydrophobic pocket.

View Article and Find Full Text PDF

The objective of our research was to determine the effects of xanthohumol (XN), a flavonoid isolated from hops (), and the anti-inflammatory drug niflumic acid (NA), separately and in combination with each other, on the proliferation of human cancer cells. Additionally, so as to understand the mechanism underlying the anticancer properties of the tested compounds, their effects on the biophysical parameters of a model membrane were assessed. The cells were incubated with XN and NA at various concentrations, either individually or in combination with each other.

View Article and Find Full Text PDF
Article Synopsis
  • The paper investigates the effectiveness of Polynomial Regression, Extreme Gradient Boosting, and LASSO models in predicting the density of supercritical carbon dioxide and the solubility of niflumic acid based on temperature and pressure.
  • It employs the Barnacles Mating Optimizer for hyperparameter optimization, resulting in high R-squared values for PR (0.99207 for SC-CO density) compared to XGB (0.92673) and LASSO (0.81917).
  • The findings highlight the potential of these machine learning models in accurately estimating drug solubility in supercritical CO, which could be valuable for the pharmaceutical industry.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!