Detailed Information

Cited 0 time in webofscience Cited 14 time in scopus
Metadata Downloads

LC-MS/MS Validation Analysis of Trastuzumab Using dSIL Approach for Evaluating Pharmacokinetics

Authors
Budhraja, Rohit H.Shah, Milin A.Suthar, MahendraYadav, ArunShah, Sahil P.Kale, PrashantAsvadi, ParisaArasu, Mariadhas ValanAl-Dhabi, Naif AbdullahPark, Chun GeonKim, Young-OckKim, Hak JaeAgrawal, Y. K.Krovidi, Ravi. K.
Issue Date
Nov-2016
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
trastuzumab; LC-MS/MS; dSIL; pharmacokinetics
Citation
Molecules, v.21, no.11
Journal Title
Molecules
Volume
21
Number
11
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/8629
DOI
10.3390/molecules21111464
ISSN
1420-3049
Abstract
Quantitative targeted proteomics based approaches deploy state-of-the-art Liquid chromatography tandem mass spectrometry LC-MS technologies and are evolving as a complementary technique to standard ligand-binding based assays. Advancements in MS technology, which have augmented the specificity, selectivity and sensitivity limits of detection and freedom from antibody generation, have made it amicable towards various clinical applications. In our current work, a surrogate peptide based quantitative proteomics assessment is performed by selecting specific signature peptides from the complementary determining region CDR region of trastuzumab (Herclon (R), Roche products in India). We developed a double Stable Isotope Label (dSIL) approach by using two different surrogate peptides to evaluate the proteolytic digestion efficiency and accurate quantification of the target analyte peptide of Herclon (R) in human serum. Method validation experiments were meticulously performed as per bioanalytical method validation guidelines. The dSIL approach, using an LC-MS/MS based quantification assay demonstrated good linearity over a range of 5-500 mu g/mL of Herclon (R), and validation experimental data is in compliance with bioanalytical regulatory guidelines.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Clinical Pharmacology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Hak Jae photo

Kim, Hak Jae
College of Medicine (Department of Clinical Pharmacology)
Read more

Altmetrics

Total Views & Downloads

BROWSE