Literature DB >> 17651932

Investigation of drug partition property in artificial sebum.

Satyanarayana Valiveti1, James Wesley, Guang Wei Lu.   

Abstract

Targeted delivery of a therapeutic agent into the hair and sebaceous follicles greatly depends on the extent of drug partitioning/diffusion in the sebum. The objective of the present research was to develop a method to determine the sebum partition coefficient in order to facilitate the selection of sebum-targeted drug candidates. Partition coefficients of model drugs with different chemical structures and 4-hydroxybenzoate series compounds were measured in artificial sebum/water (K(sebum)) and human stratum corneum/water (K(sc)) at 37 degrees C. The relationship was evaluated between logK(sebum), logK(sc) and clogP. The results of the partition coefficient studies indicate that the K(sebum) of some drugs was significantly higher than the K(sc), whereas some drugs showed lower or similar K(sebum) when compared with K(sc). Overall, a relatively poor correlation was observed between logK(sebum), logK(sc) and clog P. However, a linear relationship exists between logK(sebum) and clog P in the 4-hydroxybenzoate series compounds, indicating that K(sebum) depends on the lipophilicity and chemical structure of the compounds. The results of the present study demonstrate that K(sebum) is different from K(sc) and calculated P and is likely to be a critical parameter reflecting drug delivery into hair and sebaceous follicles.

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Year:  2007        PMID: 17651932     DOI: 10.1016/j.ijpharm.2007.06.001

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  4 in total

1.  Determining the Effect of pH on the Partitioning of Neutral, Cationic and Anionic Chemicals to Artificial Sebum: New Physicochemical Insight and QSPR Model.

Authors:  Senpei Yang; Lingyi Li; Tao Chen; Lujia Han; Guoping Lian
Journal:  Pharm Res       Date:  2018-05-14       Impact factor: 4.200

2.  In vitro antibacterial activity of NB-003 against Propionibacterium acnes.

Authors:  J Pannu; A McCarthy; A Martin; T Hamouda; S Ciotti; L Ma; J Sutcliffe; J R Baker
Journal:  Antimicrob Agents Chemother       Date:  2011-07-11       Impact factor: 5.191

3.  Development of a Two-Dimensional Model for Predicting Transdermal Permeation with the Follicular Pathway: Demonstration with a Caffeine Study.

Authors:  Panayiotis Kattou; Guoping Lian; Stephen Glavin; Ian Sorrell; Tao Chen
Journal:  Pharm Res       Date:  2017-06-28       Impact factor: 4.200

4.  Multi-phase multi-layer mechanistic dermal absorption (MPML MechDermA) model to predict local and systemic exposure of drug products applied on skin.

Authors:  Nikunjkumar Patel; James F Clarke; Farzaneh Salem; Tariq Abdulla; Frederico Martins; Sumit Arora; Eleftheria Tsakalozou; Arran Hodgkinson; Omid Arjmandi-Tash; Sinziana Cristea; Priyanka Ghosh; Khondoker Alam; Sam G Raney; Masoud Jamei; Sebastian Polak
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-06-27
  4 in total

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