Development and validation of a Sensitive bioanalytical method for the quantitative estimation of Pantoprazole in human plasma samples by LC-MS/MS: Application to bioequivalence study
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
Authors: Challa, Balasekhara R.; Boddu, Sai H. S.; Awen, Bahlul Z.; Chandu, Babu R.; Bannoth, Chandrasekhar K.; Khagga, Mukkanti; Kanala, Kanchanamala; Shaik, Rihana P.
Abstract
The present study aims at developing a simple, sensitive and specific liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the quantification of pantoprazole sodium (PS) in human plasma using pantoprazole D3 (PSD3) as internal standard (IS). Chromatographic separation was performed on Zorbax SB-C18, 4.6 mm x 75 mm, 3 5 mu m, 80 angstrom column with an isocratic mobile phase composed of 10 mM ammonium acetate (pH 7 10) acetonitrile (30 70, v/v), pumped at 06 mL/min PS and PSD3 were detected with proton adducts at m/z 384 2 -> 200 1 and 387.1 -> 203 1 in multiple reaction monitoring (MRM) positive mode. respectively Precipitation method was employed in the extraction of PS and PSD3 from the biological matrix This method was validated over a linear concentration range of 10 00-3000 00 ng/mL with correlation coefficient (r) >= 0 9997. Intra- and inter-day precision of PS were found to be within the range of 1 13-1.54 and 1.76-2 86, respectively Both analytes were stable throughout freeze/thaw cycles, bench top and postoperative stability studies. This method was successfully utilized in the analysis of blood samples following oral administration of PS (40 mg) in healthy human volunteers (C) 2010 Elsevier B V All rights reserved.
Genetic association analysis of polymorphisms in PSD3 gene with obesity, type 2 diabetes, and HDL cholesterol
DIABETES RESEARCH AND CLINICAL PRACTICE
Authors: Gong, Shaoqing; Xu, Chun; Wang, Liang; Liu, Ying; Owusu, Daniel; Bailey, Beth A.; Li, Yujing; Wang, Kesheng
Abstract
Background: The pleckstrin and Sec7 domain-containing 3 (PSD3) gene has been linked to immune diseases. We examined whether the genetic variants within the PSD3 gene are associated with obesity, type 2 diabetes (T2D), and high-density lipoprotein (HDL) cholesterol level. Methods: Multiple logistic regression model and linear regression model were used to examine the associations of 259 single nucleotide polymorphisms (SNPs) within the PSD3 gene with obesity and T2D as binary traits, and HDL level as a continuous trait using the Marshfield data, respectively. A replication study of obesity was conducted using the Health Aging and Body Composition (Health ABC) sample. Results: 23 SNPs were associated with obesity (p < 0.05) in the Marshfield sample and rs4921966 revealed the strongest association (p = 3.97 x 10(-6)). Of the 23 SNPs, 20 were significantly associated with obesity in the meta-analysis of two samples (p < 0.05). Furthermore, 6 SNPs revealed associations with T2D in the Marshfield data (top SNP rs12156368 with p = 3.05 x 10(-3)); while two SNPs (rs6983992 and rs7843239) were associated with both obesity and T2D (p = 0.0188 and 0.023 for obesity and p = 8.47 x 10(-3) and 0.0128 for T2D, respectively). Furthermore, 11 SNPs revealed associations with HDL level (top SNP rs13254772 with p = 2.79 x 10(-3)) in the Marshfield data; meanwhile rs7009615 was associated with both T2D (p = 0.038) and HDL level (p = 4.44 x 10(-3)). In addition, haplotype analyses further supported the results of single SNP analysis. Conclusions: Common variants in PSD3 were associated with obesity, T2D and HDL level. These findings add important new insights into the pathogenesis of obesity, T2D and HDL cholesterol. Published by Elsevier Ireland Ltd.