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[Research Paper] Population pharmacokinetic modeling of paired plasma–breast milk lamivudine data for estimation of infant exposure in breastfeeding mother–infant pairs

Read the entire paper here Abstract: Around 1.2 million women living with HIV give birth annually, majority of whom will breastfeed their infants while receiving antiretroviral therapy (ART). Lamivudine, a component of first‐line ART regimens crosses from maternal plasma to breast milk, with measurable concentrations in some breastfed infants. Wide variability in plasma‐to‐breast milk transfer has been reported within‐ or across studies, probably due to differences in sampling framework. This work sought to characterize the milk‐to‐plasma transfer of lamivudine, quantify inter‐patient variability and associated factors, and predict exposure of a breastfed infant. We explored data from an observational pharmacokinetic study that included 35 Ugandan mothers and their infants. Mothers received lamivudine doses of 150 mg twice daily or 300 mg once daily as part of their antiretroviral regimen. Pharmacokinetic sampling was undertaken across two visits approximately 8 weeks apart, providing 248 maternal plasma, 256 breast milk‐, and 151 infant blood concentrations, measured across a 24‐h sampling interval. A one‐compartmental model best described the plasma disposition of lamivudine, with first‐order absorption, interindividual variability on clearance and volume of distribution, and a proportional residual error model. A lag in time of plasma‐to‐breast milk drug accumulation was described using an effect compartment model with a milk‐to‐plasma ratio of 1.77. An estimated daily infant dose of 179.3 μg/kg (range: 125.8, 282.3) closely predicted the observed infant steady‐state concentrations and translated into 3.34% (2.13, 7.20) and 3.35% (1.10, 7.15) of the standard daily maternal dose in visits 1 and 2, respectively. The established modeling framework can be extended to

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[Research Paper] Using PBPK modeling to supplement clinical data and support the safe and effective use of dolutegravir in pregnant and lactating women

Read the paper here Optimal dosing in pregnant and lactating women requires an understanding of the pharmacokinetics in the mother, fetus, and breastfed infant. Physiologically-based pharmacokinetic (PBPK) modeling can be used to simulate untested scenarios. A PBPK model for the antiretroviral dolutegravir was verified using reported exposures in non-pregnant healthy volunteers, pregnant women, and the umbilical cord, lactating mothers, and breastfed neonates. Abstract Optimal dosing in pregnant and lactating women requires an understanding of the pharmacokinetics in the mother, fetus, and breastfed infant. Physiologically‐based pharmacokinetic (PBPK) modeling can be used to simulate untested scenarios and hence supplement clinical data to support dosing decisions. A PBPK model for the antiretroviral dolutegravir (mainly metabolized by UGT1A1) was verified using reported exposures in non‐pregnant healthy volunteers, pregnant women, and the umbilical cord, lactating mothers, and breastfed neonates. The model was then applied to predict the impact of UGT1A1 phenotypes in extensive (EM), poor (PM), and ultra‐rapid metabolizers (UM). The predicted dolutegravir maternal plasma and umbilical cord AUC in UGT1A1 PMs was 1.6‐fold higher than in EMs. The predicted dolutegravir maternal plasma and umbilical cord AUC in UGT1A1 UMs mothers was 1.3‐fold lower than in EMs. The predicted mean systemic and umbilical vein concentrations were in excess of the dolutegravir IC90 at 17, 28, and 40 gestational weeks, regardless of UGT1A1 phenotype, indicating that the standard dose of dolutegravir (50 mg q.d., fed state) is generally appropriate in late pregnancy, across UGT1A1 phenotypes. Applying the model in breastfed infants, a 1.5‐, 1.7‐, and 2.2‐fold higher exposure

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Research Paper: Interim analysis, a tool to enhance efficiency of pharmacokinetic studies: Pharmacokinetics of rifampicin in lactating mother-infant pairs

Read this commentary here The objectives of this interim analysis were to define the transfer of rifampicin to a breastfed infant and to determine the area under the concentration-time curve of rifampicin in maternal plasma, breastmilk and infant plasma. Performing this interim analysis enabled us to substantiate whether prior assumptions we made on several study design issues including patient sample size and pharmacokinetic sampling times held and whether we needed to amend our protocol or not. Abstract Pharmacokinetic studies are important for understanding drug disposition in the human body. However, pregnant and lactating women are often excluded from primary pharmacokinetic studies and as such there is often limited dosing information regarding drug use in pregnant and/or lactating women. The objectives of this interim analysis were to define the transfer of rifampicin to a breastfed infant and to determine the area under the concentration–time curve of rifampicin in maternal plasma, breastmilk and infant plasma. Performing this interim analysis enabled us to substantiate whether prior assumptions we made on several study design issues including patient sample size and pharmacokinetic sampling times held and whether we needed to amend our protocol or not. We enrolled lactating mothers on treatment for tuberculosis with their breastfeeding infants (below 12 months of age), performed intensive pharmacokinetic sampling (0–24 h post‐dose) on plasma samples from both the mother, infant(s) and breastmilk samples from the mother on two separate occasions (once during the initiation phase and another during the continuation phase of tuberculosis treatment). The initial study design, including sampling

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[Editorial] What can pharmacokinetic modelling do for you? Rational design and interpretation of clinical studies

Read this editorial here Editorial for themed issue of the British Journal of Clinical Pharmacology. By drawing together key exemplars illustrating the use of several pharmacometric approaches, we aim to showcase this methodology and excite the reader that the time is coming when all individuals are able to access individualized guidance on the safest, most effective use of medications.

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[Research Paper] Physiologically based pharmacokinetic modeling of drug-drug interactions between ritonavir-boosted atazanavir and rifampicin in pregnancy

Read this paper here Abstract: Ritonavir-boosted atazanavir (ATV/r) and rifampicin are mainstays of second-line antiretroviral and multiple anti-TB regimens, respectively. Rifampicin induces CYP3A4, a major enzyme involved in atazanavir metabolism, causing a drug–drug interaction (DDI) which might be exaggerated in pregnancy. Having demonstrated that increasing the dose of ATV/r from once daily (OD) to twice daily (BD) in non-pregnant adults can safely overcome this DDI, we developed a pregnancy physiologically based pharmacokinetic (PBPK) model to explore the impact of pregnancy. Predicted pharmacokinetic parameters were validated with separate clinical datasets of ATV/r alone (NCT03923231) and rifampicin alone in pregnant women. The pregnancy model was considered validated when the absolute average fold error (AAFE) for Ctrough and AUC0-24 of both drugs were <2 when comparing predicted vs. observed data. Thereafter, predicted atazanavir Ctrough was compared against its protein-adjusted IC90 (14 ng/mL) when simulating the co-administration of ATV/r 300/100 mg OD and rifampicin 600 mg OD. Pregnancy was predicted to increase the rifampicin DDI effect on atazanavir. For the dosing regimens of ATV/r 300/100 mg OD, ATV/r 300/200 mg OD, and ATV/r 300/100 mg BD (all with rifampicin 600 mg OD), predicted atazanavir Ctrough was above 14 ng/mL in 29%, 71%, and 100%; and 32%, 73% and 100% of the population in second and third trimesters, respectively. Thus, PBPK modeling suggests ATV/r 300/100 mg BD could maintain antiviral efficacy when co-administered with rifampicin 600 mg OD in pregnancy. Clinical studies are warranted to confirm safety and efficacy in pregnancy.

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Chapter Perspectives: Attending the PAGE 2024 Meeting

This article was written by Francis Ojara Williams, an APT program fellow and member of the Ugandan chapter of Pharmacometrics Africa. Scientific meetings act as hubs for networking, exchanging ideas, and forging professional relationships amongst its attendees. Over the last 50 years the field of pharmacometrics has grown remarkably, and increased in acceptance in academia and industry. The Population Approach Group Europe (PAGE) meeting is a signature annual event in pharmacometrics, hosted in a selected European city. The growth in pharmacometrics is well mirrored in the growth of the PAGE meeting. Though there is an expansion in the number of academic groups offering training in quantitative pharmacology (and related fields) only a few established groups, in terms of expertise and number of studentships, currently exist. Students from established groups benefit more from the rigorous scientific exchanges from within these groups compared to those from smaller groups. Meetings like the PAGE provide the perfect audience for all –students, academics and industry colleagues – to network, exchange science and forge professional relationships. Inevitably, one of the common questions in this community is “Will you be presenting at the next PAGE meeting?”   I attended the PAGE 2024 meeting, from June 25-28, in the beautiful and historical city of Rome. This was the fourth PAGE meeting I was attending: The earlier three I attended as a doctoral student at the Freie Universitaet Berlin, with the most recent in 2019. This time around: 1) I was attending as a post-doctoral scholar from the Infectious Diseases

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A dive into pharmacokinetics modelling of drugs in global health research: Dr. Karen Yeo presents a case study on Moxidectin

My name is Joshua Kiptoo, a member of the Uganda chapter of Pharmacometrics Africa and a practicing clinical pharmacist in Uganda.  Like many other life concepts, I have appreciated that “how” one communicates a scientific concept is as (if not more) important as “what” one intends to communicate. To me, unraveling the ‘how‘ when communicating the concept of “modeling” is critical in understanding the growing popularity of pharmacokinetic modeling in the past decades. Not only is the phrase “Physiologically Based Pharmacokinetic (PBPK) modeling” a mouthful of words to fit in one breath, but also a concept that sounds complex at the first hearing. Thinking about how people facilitate understanding of perceived ‘complex’ subjects like PBPK modeling, the idea that rang ‘closest to home’ was the use of human mannequins in our clothes shopping stores. In Uganda, tailoring is still a big business and most of us will have our clothes designed and tailor-made for ‘that’ special occasion. To best select tailor-made clothes that best fits an individual’s preference, a vendor may require a mannequin as an additional investment in the business. You can only better appreciate your potential clothes when hung on an appropriate mannequin (‘model’) with the right shape, size, and design (‘dosage regimen’) that is most likely to meet your individual needs. Quite often, we look at the chest and shoulders designs, the waist size, and overall height of the clothing on display. Such is the concept of modeling, and a model that better suits the needs of

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[Commentary] Recruitment of pregnant and breastfeeding women in pharmacokinetic studies: strategies, opportunities, barriers, and recommendations

Pregnant and breastfeeding women are often under-represented in clinical research, including pharmacokinetic studies, due to ethical and logistical challenges. This paper examines strategies to improve the recruitment and retention of this demographic in pharmacokinetic research, drawing on experiences from five studies conducted at the Infectious Diseases Institute, Makerere University, Uganda.

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Nigerian Chapter of Pharmacometrics Africa Officially Launched

We are thrilled to announce the launch of the Nigeria Chapter of Pharmacometrics Africa! Together with our colleagues across the continent, we are dedicated to advancing the field of pharmacometrics by building capacity, fostering collaboration, and engaging stakeholders at all levels. Who We AreWe are a group of scientists in Nigeria, who belong to the Pharmacometrics Africa Network, dedicated to advancing patient care through clinical pharmacology and pharmacometrics. Our mission is to optimize drug therapy and improve patient outcomes by leveraging modelling and simulation tools to understand drug behaviour and patient response by providing data-driven insights to guide treatment outcomes . What We Do Our chapter focuses on: Join Us!We call on pharmacometricians, partners, and sponsors to join forces with us as we move the frontier of clinical pharmacology and pharmacometrics in Nigeria and Africa.

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[Review Article] Cross-disciplinary mathematical modelling to benefit healthcare – could clinical pharmacology play an enabling role?

In December 2023, Stellenbosch University, Fundisa African Academy of Medicines Development and Pharmacometrics Africa convened a virtual cross-disciplinary symposium to discuss concepts of mathematical modelling applied in various interrelated scientific fields, including the science of pharmacometrics. Experts from different fields were invited to share their insights for a deeper understanding of the application, experiences, challenges and foresight of mathematical modelling in their fields. The goal was to provide an opportunity to highlight the current interlinks amongst the disciplines and possible avenues/collaborations for future research and applications. To highlight and share what we learned, a review article was just published in the British Journal of Clinical Pharmacology – you can read a copy at this link. Abstract: Clinical pharmacology is often the nexus in any cross-disciplinary team that is seeking solutions for human healthcare issues. The use and application of real-world data and artificial intelligence to better understand our ecosystem has influenced our view at the world and how we do things. This has resulted in remarkable advancements in the healthcare space and development of personalized medicines with great attributes from the application of models and simulations, contributing to a more efficient healthcare development process. A cross-disciplinary symposium was held in December 2023, whereby experts from different scientific disciplines engaged in a high-level discussion on the opportunities and challenges of mathematical models in different fields, possible future developments and decision making. A strong interlink amongst the disciplines represented was apparent, with clinical pharmacology identified as the one which integrates various scientific

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