Lidocaine Transdermal Patch: Pharmacokinetic Modeling and In Vitro-In Vivo Correlation (IVIVC)

被引:17
|
作者
Kondamudi, Phani Krishna [1 ,5 ]
Tirumalasetty, Phani Prasanth [2 ,5 ]
Malayandi, Rajkumar [1 ,5 ]
Mutalik, Srinivas [3 ]
Pillai, Raviraj [4 ,5 ]
机构
[1] Ctr Excellence Bio Studies, Hyderabad, Telangana, India
[2] Softgel Top Transdermal & Resp STaR Vert, Formulat R&D, Hyderabad, Andhra Pradesh, India
[3] Manipal Coll Pharmaceut Sci, Dept Pharmaceut, Manipal 576104, Karnataka, India
[4] Dr Reddys Labs, Softgel Transdermal Top Resp STaR Prod Dev, Hyderabad 500090, Andhra Pradesh, India
[5] Dr Reddys Labs, Integrated Prod Dev Org, IPDO Innovat Plaza, Hyderabad 500090, Andhra Pradesh, India
来源
AAPS PHARMSCITECH | 2016年 / 17卷 / 03期
关键词
bioequivalence; IVIVC; lidocaine; numerical deconvolution; transdermal; POSTHERPETIC NEURALGIA; TOPICAL LIDOCAINE; FORMULATION; DRUG; BIOEQUIVALENCE; ABSORPTION; DELIVERY; ADHESIVE; SKIN;
D O I
10.1208/s12249-015-0390-1
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The present study aims to develop the correlation between in vitro and in vivo skin permeation of lidocaine in its transdermal patch. In order to minimize the run-to-run variability during in vitro skin permeation studies, release normalized cumulative percent (%Ct(n)) was calculated. A suitable polynomial mathematical model was used to establish a correlation between time and %Ct(n). Percent in vivo absorbed was calculated by using numerical deconvolution (NDC) and non-compartmental analysis (NCA) methods. Pharmacokinetic (PK) parameters such as AUC(last) and C-max were predicted with the established in vitro-in vivo correlation (IVIVC) models. The minimum prediction errors in NDC method for C-max were found to be -30.9 and -25.4% for studies I (in vivo study in human volunteers with one batch of Lidoderm patch; internal validation) and II (in vivo study in human volunteers with another batch of Lidoderm patch; external validation), respectively, whereas minimum prediction errors in NCA method were relatively low (3.9 and 0.03% for studies I and II, respectively) compared to those in NDC method. The prediction errors for AUClast were found to be less than 2% for both methods and studies. The established method in this study could be a potential approach for predicting the bioavailability and/or bioequivalence for transdermal drug delivery systems.
引用
收藏
页码:588 / 596
页数:9
相关论文
共 50 条
  • [1] Lidocaine Transdermal Patch: Pharmacokinetic Modeling and In Vitro–In Vivo Correlation (IVIVC)
    Phani Krishna Kondamudi
    Phani Prasanth Tirumalasetty
    Rajkumar Malayandi
    Srinivas Mutalik
    Raviraj Pillai
    AAPS PharmSciTech, 2016, 17 : 588 - 596
  • [2] In vitro-in vivo correlation: Importance of dissolution in IVIVC
    Cardot, J-M.
    Beyssac, E.
    Alric, M.
    DISSOLUTION TECHNOLOGIES, 2007, 14 (01): : 15 - 19
  • [3] Development and validation of in vitro-in vivo correlation (IVIVC) for estradiol transdermal drug delivery systems
    Yang, Yang
    Manda, Prashanth
    Pavurala, Naresh
    Khan, Mansoor A.
    Krishnaiah, Yellela S. R.
    JOURNAL OF CONTROLLED RELEASE, 2015, 210 : 58 - 66
  • [4] Bioavailability, bioequivalence, and in vitro-in vivo correlation of oxybutynin transdermal patch in rabbits
    Khire, Achyut
    Vavia, Pradeep
    DRUG DELIVERY AND TRANSLATIONAL RESEARCH, 2014, 4 (02) : 105 - 115
  • [5] In Vitro-In Vivo Correlation (IVIVC): From Current Achievements Towards the Future
    Tuszynski, Pawel Konrad
    Szlek, Jakub
    Polak, Sebastian
    Jachowicz, Renata
    Mendyk, Aleksander
    DISSOLUTION TECHNOLOGIES, 2018, 25 (03): : 20 - 27
  • [6] Pharmacokinetic Interactions with FelbamateIn Vitro-In Vivo Correlation
    Paul Glue
    Christopher R. Banfield
    James L. Perhach
    Gary G. Mather
    Jagdish K. Racha
    Rene H. Levy
    Clinical Pharmacokinetics, 1997, 33 : 214 - 224
  • [7] Development of in vitro-in vivo correlation for pharmacokinetic simulation
    Murtaza, Ghulam
    Azhar, Saira
    Khalid, Ayisha
    Nasir, Bushra
    Ubaid, Muhammad
    Shahzad, Muhammad Khurran
    Saqib, Fatima
    Afzal, Iftikhar
    Noreen, Sobia
    Tariq, Muhammad
    Chohan, Tahir Ali
    Malik, Abdul
    AFRICAN JOURNAL OF PHARMACY AND PHARMACOLOGY, 2012, 6 (04): : 257 - 263
  • [8] Level A in vitro-in vivo correlation (IVIVC) model with Bayesian approach to formulation series
    Kortejarvi, H.
    Malkki, J.
    Marvola, M.
    Urtti, A.
    Yliperttula, M.
    Pajunen, P.
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2006, 95 (07) : 1595 - 1605
  • [9] Pharmacokinetic evaluation and In Vitro-In Vivo Correlation (IVIVC) of novel methylene-substituted 3,3′ diindolylmethane (DIM)
    Patel, Apurva R.
    Spencer, Shawn D.
    Chougule, Mahavir B.
    Safe, Stephen
    Singh, Mandip
    EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2012, 46 (1-2) : 8 - 16
  • [10] In Vitro-In Vivo Correlation (IVIVC) Population Modeling for the In Silico Bioequivalence of a Long-Acting Release Formulation of Progesterone
    Tosca, Elena M.
    Rocchetti, Maurizio
    Perez, Elena
    Nieto, Conchi
    Bettica, Paolo
    Moscoso del Prado, Jaime
    Magni, Paolo
    De Nicolao, Giuseppe
    PHARMACEUTICS, 2021, 13 (02) : 1 - 26