JPIAMR 14th Call Partner Search Tool

General Information

• Project title: Translational PKPD modeling of anti-infective drugs on the example of selected antibiotics and antifungals.
• Type: Project looking for partner
• Organisation: Poznan University of Medical Sciences
• Country: Poland (PL)

Research area

• Scientific area(s) of the call:
  1. Optimisation of drug/plant protection agent combinations, alone or with adjunct therapies (including therapeutic vaccines)
  2. Design and implementation of new strategies (including optimisation of drug doses) for improved application, efficacy and delivery of single or combinations of antimicrobials
• One Health Setting:

  Human Health

• Type of studies/experimental approaches:

  preclinical and clinical studies in human and in all veterinary settings

• Keywords:

  NONMEM; pharmacokinetics; pharmacodynamics; mathematical models; pharmacogenetics

• Brief description of your expertise / expertise you are looking for:

  We are a group of scientists working with populating modeling of anti-infective drugs in different populations. As a University unit, we have possibilities to determine drug concentration and build PKPD models by NONMEM software. We cooperate with specialists from the Medical University of Gdansk and the University of Buffalo in creating mechanistic models.

• Brief description of your project / the project you would like to join:

  Under the project, a part of a doctoral dissertation, work will focus on the PK and PD of antifungal drugs (fluconazole, isavuconazole, and anidulafungin) and antibiotics (cefotaxime and meropenem) in the pediatric and adult populations. The choice of topic is dictated by the growing need to create PKPD models of the drugs mentioned above, especially in children but also in adults. The hypothesis is the assumption that using a mathematical model will enable to describe the time course of the drug in the organism, the relationship between the effect and the dose of the medicine and its concentration in the plasma, and the influence of individual factors on the PKPD profile of a drug. Calculated models allow choosing a proper personalized dosage, increasing therapy effectiveness and reducing bacterial and fungal resistance. In addition, in the case of patients taking beta-lactam antibiotics, it is planned to determine polymorphisms encoding organic anion transporter OAT3 and transport protein MRP4, which are suggestive of a possible influence on the elimination rate and frequency of neutropenia after administration of high doses of beta-lactams over 10 days of therapy. Don’t hesitate to get in touch with us for more detailed information.

Arkadiusz Adamiszak

• Organisation: Poznan University of Medical Sciences
• Position: PhD student
• E-mail: arkadiusz.adamiszak@student.ump.edu.pl
• Phone: +48 536 551 662
• Web: www.ump.edu.pl/en