Literature DB >> 16510271

The distribution pattern of radioactivity across different tissues in quantitative whole-body autoradiography (QWBA) studies.

Wolfgang F Richter1, Volkmar Starke, Brian Whitby.   

Abstract

This study explored whether common rules exist for the distribution patterns across tissues in tissue distribution studies. To investigate this we tested whether tissue:plasma partition coefficients (PCs) of radioactivity are correlated with muscle:plasma PCs. The relationships between PCs of radioactivity in muscle and those in other tissues were investigated in 25 tissues for 20 structurally unrelated drug candidates. Tissue distribution data were obtained by quantitative whole-body autoradiography. Linear regression analysis was performed for each tissue. Radioactivity from basic and acidic/neutral compounds was analyzed separately. Results for acidic/neutral compounds: for the majority of the tissues investigated, the tissue:plasma PCs were well correlated with muscle:plasma PCs (R2 > 0.7). Correlations were worse (R2 < 0.7) in blood, white fat, excretory organs and tissues protected by a penetration barrier (e.g. brain). Slope factors for the regression ranged from 0.2 (blood) to 3.8 (Harderian gland) and were correlated with neutral lipid contents in tissues. Results for basic compounds: in most tissues, slope factors appeared to be higher than for acidic/neutral compounds. Correlations, however, were poorer than for acidic/neutral compounds. Overall, the present study demonstrates that muscle:plasma PCs are indicative of the overall tissue distribution of drug-related material, as they are well correlated with tissue:plasma PCs in most other tissues. Correlations for acidic/neutral compounds differ from those for basic compounds. The found PC relationships provide an explanation for the distribution pattern across tissues usually seen in tissue distribution studies.

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Year:  2006        PMID: 16510271     DOI: 10.1016/j.ejps.2006.01.007

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  3 in total

1.  Prediction of Tissue-to-Plasma Ratios of Basic Compounds in Mice.

Authors:  Prashant B Nigade; Jayasagar Gundu; K Sreedhara Pai; Kumar V S Nemmani
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-10       Impact factor: 2.441

2.  Prediction of Tumor-to-Plasma Ratios of Basic Compounds in Subcutaneous Xenograft Mouse Models.

Authors:  Prashant B Nigade; Jayasagar Gundu; K Sreedhara Pai; Kumar V S Nemmani
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-06       Impact factor: 2.441

3.  Interrogating the relationship between rat in vivo tissue distribution and drug property data for >200 structurally unrelated molecules.

Authors:  Andrew W Harrell; Caroline Sychterz; May Y Ho; Andrew Weber; Klara Valko; Kitaw Negash
Journal:  Pharmacol Res Perspect       Date:  2015-08-10
  3 in total

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