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Two-compartment model of drug passage into milk. Blue boxes indicate the various metrics describing the extent of drug passage. M/P = milk to plasma concentration ratio; RID = relative infant dosage; I/M = infant to maternal plasma concentration ratio.

Two-compartment model of drug passage into milk. Blue boxes indicate the various metrics describing the extent of drug passage. M/P = milk to plasma concentration ratio; RID = relative infant dosage; I/M = infant to maternal plasma concentration ratio.

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One impediment to breastfeeding is the lack of information on the use of many drugs during lactation, especially newer ones. The principles of drug passage into breastmilk are well established, but have often not been optimally applied prospectively. Commonly used preclinical rodent models for determining drug excretion into milk are very unreliabl...

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... 63 Although all medications can enter breast-milk, serum concentration will vary due to characteristics of the drug. 64 For example, psychotropic medications are shown to be present at low levels in breastmilk and no data have indicated harm to the infant. 65 Low molecular weight and lipophilic medications can easily move through the lipid membranes of cells, and therefore, the concentration of these types of medications in breast-milk is higher than other types of drugs. ...
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For the past several years, the implementation of pharmacogenetic (PGx) testing has become widespread in several centers and clinical practice settings. PGx testing may be ordered at the point-of-care when treatment is needed or in advance of treatment for future use. The potential benefits of PGx testing are not limited to adult patients, as children are increasingly using medications more often and at earlier ages. This review provides some background on the use of PGx testing in children as well as mothers (prenatally and post-natally) and discusses the challenges, benefits, and the ethical, legal, and social implications of providing PGx testing to children.
... Given the possibility of transfer to infants via milk, pharmaceuticals including antibiotics and nonsteroidal antiinflammatory drugs (NSAID) are carefully prescribed by doctors to mothers during lactation with prescription of doctors [14][15][16]. Similarly, we predicted that a small amount of drugs might also pass into the breast milk of mothers who consumed contaminated foods [17]. There is only one study about detectable drug residues in the breastmilk of mothers without any history of usage of residual antibiotics in Eskişehir, Turkey [18]. ...
... However, in cases with NSAID residues, neonatal jaundice and breastfeeding problems were detected slightly higher (p = 0.071 and p = 0.073) which was not found to be statistically significant. NSAIDs are consumed widely during the early lactational period [17]. On the other hand, it is known that NSAIDs have a risk for renal injury, constriction of the ductus arteriosus, necrotizing enterocolitis and intracranial haemorrhage when used in the third trimester of gestation [11]. ...
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Background: Breast milk is a natural and unique nutrient for optimum growth and development of the newborn. The aim of this study was to investigate the presence of unpredictable drug residues in mothers' milk and the relationship between drug residues and maternal-infant characteristics. Methods: In a descriptive study, breastfed infants under 3 months of age and their mothers who applied for child health monitoring were enrolled for the study. Information forms were completed for maternal-infant characteristics, breastfeeding problems, crying and sleep characteristics of infants. Maternal and infant anthropometric measurements and maternal milk sample were taken. Edinburgh Postpartum Depression Scale was applied to mothers. RANDOX Infiniplex kit for milk was used for residual analysis. Results: Overall, 90 volunteer mothers and their breastfed infants were taken into the study and the mean age of the mothers and their infants was 31.5 ± 4.2 years and 57.8 ± 18.1 days, respectively. Anti-inflammatory drug residues in breast milk were detected in 30.0% of mothers and all had tolfenamic acid. Overall, 94.4% had quinolone, 93.3% beta-lactam, 31.1% aminoglycoside and 13.3% polymycin residues. Drugs used during pregnancy or lactation period were not affected by the presence of residues. Edinburgh postpartum depression scores of mothers and crying and sleeping problems of infants were similar in cases with and without drug residues in breast milk. When controlling confounding factors, maternal body mass index alterations were detected to be significantly lower in mothers with anti-inflammatory drug residues in breast milk than in their counterparts (p = 0.017). Conclusions: Our study suggests that there are unpredictable drug residues in the milk of many mothers. Anti-inflammatory drug exposure might affect maternal weight change during the postpartum period. Further studies are required to evaluate the impact of drug residues on maternal and infant health.
... Measurement of drug concentrations in humans remains the golden standard. The new FDA requirements should improve the use of medications in nursing mothers ( [157] and the references therein). ...
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There is a clear sex–gender gap in the prevention and occurrence of diseases, and in the outcomes and treatments, which is relevant to women in the majority of cases. Attitudes concerning the enrollment of women in randomized clinical trials have changed over recent years. Despite this change, a gap still exists. This gap is linked to biological factors (sex) and psycho-social, cultural, and environmental factors (gender). These multidimensional, entangled, and interactive factors may influence the pharmacological response. Despite the fact that regulatory authorities recognize the importance of sex and gender, there is a paucity of research focusing on the racial/ethnic, socio-economic, psycho-social, and environmental factors that perpetuate disparities. Research and clinical practice must incorporate all of these factors to arrive at an intersectional and system-scenario perspective. We advocate for scientifically rigorous evaluations of the interplay between sex and gender as key factors in performing clinical trials, which are more adherent to real-life. This review proposes a set of 12 rules to improve clinical research for integrating sex–gender into clinical trials.
... Exposure of the nursing infant to maternal drugs is overall lower as compared to exposure during pregnancy and teratogenicity is not a concern. Safety in lactation can be more directly assessed by sampling of breast milk and, in some cases, infant blood (18). The review elaborates the factors that affect the passage of drugs to breast milk and their pharmacokinetics in the nursing infant, models and designs of lactation studies, and regulatory issues. ...
Article
This theme issue of Pharmaceutical Research is dedicated to drug research and therapy in pregnant and breastfeeding woman. Enthusiasm for studying drug safety and toxicity in these patients (and in their children) has risen over the past decade. Yet, the accumulation of data is slow. A combined effort of industry, regulators, academia and clinicians can promote the treatment of these populations, as discussed in detail in this issue. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
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Purpose/Background Zuranolone is a positive allosteric modulator of both synaptic and extrasynaptic γ-aminobutyric acid type A receptors and a neuroactive steroid approved as an oral, once-daily, 14-day treatment course for adults with postpartum depression in the United States. This study assessed zuranolone transfer into breast milk. Methods/Procedures Healthy, nonpregnant, lactating adult female participants received once-daily 30 mg zuranolone from day (D)1 through D5 in this phase 1 open-label study. The relative infant dose (RID; weight-adjusted proportion of the maternal dose in breast milk over 24 hours) for 30 mg zuranolone was assessed at D5. An RID for 50 mg zuranolone was estimated using a simulation approach across a range of infant ages and weights. Findings/Results Of 15 enrolled participants (mean age, 30.1 years), 14 completed the study. The mean RID for 30 mg zuranolone at D5 was 0.357%; the mean steady-state milk volume over D3 to D5 decreased from baseline by 8.3%. Overall unbound zuranolone in plasma was low (≤0.49%). Plasma concentrations peaked at D5 before decreasing in a biexponential manner. There was strong concordance between the temporal evolution of zuranolone concentrations in plasma and breast milk. The estimated mean RID for 50 mg zuranolone based on a milk intake of 200 mL/kg per day was 0.984%. All treatment-emergent adverse events reported by participants were mild, the most common being dizziness (n = 3). Implications/Conclusions Zuranolone transfer into the breast milk of healthy, nonpregnant, lactating adult female participants was low; the estimated RID for 50 mg zuranolone was <1%, well below the <10% threshold generally considered compatible with breastfeeding.
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Background Neonatal effects of late intrauterine and early postpartum exposure to lithium through mother’s own milk are scarcely studied. It is unclear whether described symptoms in breastfed neonates are caused by placental lithium transfer or postnatal exposure to lithium through breastfeeding. We aimed to investigate lithium clearance and neonatal morbidity in breastfed infants with high versus low serum lithium concentrations at birth. Methods This retrospective study focused on breastfed infants to women treated with lithium during and after pregnancy, born between 2006 and 2021 in Stockholm, Sweden. Information on serum lithium concentrations and adverse neonatal outcomes was obtained from medical records. Neonatal symptoms and lithium clearance were compared between a high exposure group (HEG, lithium concentrations ≥ 0.6 meq/l) and a low exposure group (LEG, < 0.6 meq/l). Results A total of 25 infant-mother dyads were included. Median lithium serum concentration at birth was 0.90 meq/l in the HEG as compared with 0.40 meq/l in the LEG (p < 0.05). The difference was still significant at follow-up (0.20 meq/l vs 0.06 meq/l, p < 0.05), despite reduction in maternal dose. The rate of neonatal symptoms was 85.7% in HEG and 41.2% in LEG (p = 0.08) at birth and 28.6% vs 11.8% at follow-up (p = 0.55). Furthermore, 28.6% of infants in HEG were admitted to neonatal care, vs 5.9% in LEG (p = 0.19). Two infants in the HEG had therapeutic lithium levels at follow-up. All infants with symptoms at follow-up were either in the HEG or exposed to additional psychotropic medication. Conclusions Neonatal symptoms are common after late intrauterine lithium exposure, however transient, treatable and mostly mild. In this study, a high lithium concentration at birth was a risk factor for an increased lithium level at follow-up. Polypharmacy may constitute an additional risk factor. This study suggests that the late intrauterine exposure to lithium might add to the adverse effects in lithium-exposed, breastfed infants. Consequently we recommend breastfed infants with therapeutic lithium concentrations at birth to be followed up promptly to avoid lithium toxicity.
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Physiologically based pharmacokinetic (PBPK) modelling is a bottom-up approach to predict pharmacokinetics in specific populations based on population-specific and medicine-specific data. Using an illustrative approach, this review aims to highlight the challenges of incorporating physiological data to develop postpartum, lactating women and breastfed infant PBPK models. For instance, most women retain pregnancy weight during the postpartum period, especially after excessive gestational weight gain, while breastfeeding might be associated with lower postpartum weight retention and long-term weight control. Based on a structured search, an equation for human milk intake reported the maximum intake of 153 mL/kg/day in exclusively breastfed infants at 20 days, which correlates with a high risk for medicine reactions at 2–4 weeks in breastfed infants. Furthermore, the changing composition of human milk and its enzymatic activities could affect pharmacokinetics in breastfed infants. Growth in breastfed infants is slower and gastric emptying faster than in formula-fed infants, while a slower maturation of specific metabolizing enzymes in breastfed infants has been described. The currently available PBPK models for these populations lack structured systematic acquisition of population-specific data. Future directions include systematic searches to fully identify physiological data. Following data integration as mathematical equations, this holds the promise to improve postpartum, lactation and infant PBPK models.
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Milk to plasma concentration ratio (M/P) Large molecule drugs Breast milk Lactation Pharmacokinetics A B S T R A C T The development of an effective method for predicting the transfer of biologics from plasma into breast milk is important to ensure the safe use of medications during lactation. The aim of this study was to develop a regression model that could predict the transfer of monoclonal antibodies (mAbs) and Fc-fusion proteins from plasma into breast milk. By searching various databases, a list of eleven mAbs and Fc-fusion proteins with available information of presence in the breast milk was generated. Physicochemical properties such as the isoelectric point (pI), molecular weight (MW), dissociation constant (K d), and pharmacokinetic (PK) parameters such as clearance (CL), volume of distribution (V d), and half-life (T 1/2) were collected or calculated. A two-variable non-linear regression analysis and a multivariate regression analysis were employed to establish correlation of milk-to-plasma (M/P) ratios with different combinations of two physicochemical properties. The 3D isoelectric point (pI) of the Fv region and the buried surface area (BSA) between the light and heavy chains (LC_HC) were two factors that emerged as a promising predictor of the milk-to-plasma concentration ratio (M/P). The correlation between M/P ratio, 3D pI of Fv region, and BSA_LC_HC was found to be good with R 2 of 0.9058. Other combinations of the physicochemical properties did not show a statistically significant correlation. The multivariate regression model was used to predict the MP ratios for 79 different mAbs. We believe that this regression model could serve as a valuable tool to estimate the M/P ratios of mAbs and Fc-fusion proteins. Further model validation is necessary when the M/P ratios of additional biologics are available. This could inform clinical decision-making and improve the safety of large molecule drug use during lactation.
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Objective This study aims: (a) to evaluate patterns of domperidone dispensing to mothers of very preterm (<32 weeks gestation) infants born before and after 2014 when international recommendations were made to limit its use and (b) to examine characteristics associated with domperidone dispensing and impacts on breast milk feeding rates at infant hospital discharge. Design Retrospective audit using linked electronic medical records and hospital pharmacy records. Setting Tertiary-referral neonatal intensive care unit at the Women’s and Children’s Hospital in South Australia. Patients Mothers of preterm infants admitted to neonatal intensive care from January 2004 to December 2018. Main outcome measures Rate of domperidone dispensing compared pre-2014 and post-2014 recommendations using interrupted time series analyses, and breast milk feeding rates at infant discharge based on domperidone treatment status, adjusted for other factors known to influence breast milk production. Results Overall, domperidone was dispensed to 691 (41%) of 1688 mothers. Prior to 2014 recommendations, the proportion of women dispensed domperidone was stable. Following the recommendations, there was a significant reduction in trend (−2.55% per half year, 95% CI −4.57% to –0.53%;), reflecting less domperidone dispensing. Breast milk feeding rates at discharge remained consistently lower in infants of women dispensed domperidone than those who were not (adjusted OR 0.58, 95% CI 0.45 to 0.75). Conclusion Domperidone dispensing in mothers of hospitalised very preterm infants has declined over time following international regulatory warnings. Breast milk feeding rates remain lower in mothers prescribed domperidone, suggesting further research is needed to optimise lactation support for mothers of very preterm infants.