Literature DB >> 4066977

QSAR analysis of drug excretion into human breast milk.

M S Meskin, E J Lien.   

Abstract

Breast feeding has increased by approximately 25% in the United States during the past decade and this trend appears to be continuing. The number of drugs available to lactating women is also growing at a rapid pace. The excretion of drugs into breast-milk presents a potential danger to infants. In spite of this, little is known about the excretion of drugs into breast-milk. The ability to predict which drugs are potential hazards would be very useful in the clinical setting. This study quantitatively correlates the human milk to plasma concentration ratio of various basic and acidic drugs (log M/P) with the square root of the molecular weight, the partition coefficient (log P) and the degree of dissociation (log U/D). For basic drugs there is a negative-dependence on both log P and log U/D. High lipophilicity favours protein binding and reduces the amount of drug available for diffusion into milk. Therefore, as log P increases, the log M/P decreases. The negative-dependence on log U/D indicates that the higher the degree of dissociation of the base in plasma, the greater the log M/P will be. This fits well with the concept of ion-trapping. A strong base is more likely to be transferred and then trapped in milk which has a lower pH than plasma. For acidic drugs there is a negative-dependence on both square root (MW) and log P. The negative-dependence on square root (MW) suggests that large molecules are less likely to be able to diffuse into the milk. A negative-dependence on log P appears to hold true for bases and acids. Log M/P decreases as log P increases. This is probably due to increased protein binding by lipophilic drugs through non-specific hydrophobic interaction with plasma protein.

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Year:  1985        PMID: 4066977     DOI: 10.1111/j.1365-2710.1985.tb00924.x

Source DB:  PubMed          Journal:  J Clin Hosp Pharm        ISSN: 0143-3180


  7 in total

1.  Prediction of milk/plasma drug concentration (M/P) ratio using support vector machine (SVM) method.

Authors:  Chunyan Zhao; Haixia Zhang; Xiaoyun Zhang; Ruisheng Zhang; Feng Luan; Mancang Liu; Zhide Hu; Botao Fan
Journal:  Pharm Res       Date:  2006-11-30       Impact factor: 4.200

2.  Prediction of drug distribution into human milk from physicochemical characteristics.

Authors:  H C Atkinson; E J Begg
Journal:  Clin Pharmacokinet       Date:  1990-02       Impact factor: 6.447

3.  An in vitro technique for the rapid determination of drug entry into breast milk.

Authors:  L J Notarianni; D Belk; S A Aird; P N Bennett
Journal:  Br J Clin Pharmacol       Date:  1995-10       Impact factor: 4.335

4.  Prediction of Drug Transfer into Milk Considering Breast Cancer Resistance Protein (BCRP)-Mediated Transport.

Authors:  Naoki Ito; Kousei Ito; Yuki Ikebuchi; Yu Toyoda; Tappei Takada; Akihiro Hisaka; Akira Oka; Hiroshi Suzuki
Journal:  Pharm Res       Date:  2015-02-19       Impact factor: 4.200

5.  Statistical Methods in the Study of Protein Binding and Its Relationship to Drug Bioavailability in Breast Milk.

Authors:  Karolina Wanat; Elżbieta Brzezińska
Journal:  Molecules       Date:  2022-05-26       Impact factor: 4.927

Review 6.  The pharmacokinetics of antiarrhythmic agents in pregnancy and lactation.

Authors:  G M Mitani; I Steinberg; E J Lien; E C Harrison; U Elkayam
Journal:  Clin Pharmacokinet       Date:  1987-04       Impact factor: 6.447

7.  Metronidazole excretion in human milk and its effect on the suckling neonate.

Authors:  C M Passmore; J C McElnay; E A Rainey; P F D'Arcy
Journal:  Br J Clin Pharmacol       Date:  1988-07       Impact factor: 4.335

  7 in total

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