The model and simulations were implemented using the R software version 3
The model and simulations were implemented using the R software version 3.5.0.22 == Dose selection criteria == Based on the PBPK model, candidate mAbs and ultimately the lowest bamlanivimab dose, evaluated in this study, that were expected to result in maximum effect were selected to maintain a concentration above thein vitroIC90of viral neutralization for human host cell entry in the lung tissue for at least 28days in 90% of the patient population. to estimate viral clearance as a function of drug concentration and dose. The PBPK modelbased approach suggested that a clinical dose between 175 and 500 mg of bamlanivimab would maintain target mAb concentrations in the lung GSK-7975A tissue over 28 days in 90% of patients. The viral dynamic model suggested a 700 mg dose would achieve maximum viral elimination. Taken together, the firstinhuman trial (NCT04411628) conservatively proceeded GSK-7975A with a starting therapeutic dose of 700 mg and escalated to higher doses to evaluate the upper limit of safety and tolerability. GSK-7975A Availability of openaccess codes and application of novelin silicomodelbased approaches supported the selection of bamlanivimab and identified the lowest dose evaluated in this study that was expected to result in the maximum therapeutic effect before the firstinhuman clinical trial. == Study Highlights. == WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC? Bamlanivimab is a monoclonal antibody that neutralizes severe acute respiratory syndromecoronavirus 2 (SARSCoV2) and underwent rapid clinical development for treatment of coronavirus disease 2019 (COVID19) in patients with mild or moderate disease. WHAT QUESTION DID THIS STUDY ADDRESS? This paper provides the methodology behind modeling selection of the first human dose range of bamlanivimab in a pandemic situation, and how physiologicallybased pharmacokinetic modeling was used to predict 700 mg as the lowest dose evaluated in this study that would result in maximum therapeutic effect in the absence of preclinical or clinical data. WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE? An openaccessin silicomodeling and simulation approach to drug discovery and development facilitated an accelerated path to selecting bamlanivimab as the best drug candidate based on the projected pharmacokinetic (PK), pharmacodynamic (PD), and optimal therapeutic dose. HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE? This work demonstrates thatin silicoPK/PD modeling and simulation and openaccess approaches to science can be relied upon in future drug development programs especially when speed to patient is essential. Infections with a novel severe acute respiratory syndrome coronavirus 2 (SARSCoV2) are currently widespread and responsible for an ongoing public health emergency. As of March 9, 2020, when this work with neutralizing monoclonal antibodies (mAbs) began, there were over 114,000 cases and 3,990 deaths due to coronavirus disease 2019 (COVID19). That number has increased globally to more than 120 million cases and 2.6 million deaths across 192 countries or regions (as of March 16, 2021).1As these numbers continue to increase, there is an urgent need for safe and effective therapeutics to treat patients. Through stateoftheart high throughput technology and the global effort to share scientific data, including genetic codes for the spike protein of SARSCoV2,2,3immunoglobulin G (IgG) mAbs, specifically engineered against the spike protein of SARSCoV2 have been developed. These mAbs have the potential to block viral attachment and entry into human cells, thus neutralizing the virus and potentially preventing and treating COVID19.4,5However, the process of moving from bench to patients for clinical use may take up to 10 years or more in research and development,6a timeframe that was not useful in the midst of a pandemic. The massive impact of COVID19 on both global GSK-7975A health and economics has driven an unprecedented effort in the utilization ofin silicomodeling and simulation to accelerate timelines in research and development.7,8,9,10 An openaccessin silicopharmacology modelbased approach was developed to project the clinical dose for a selected set of neutralizing antibodies in the preclinical screening stage to support Rabbit Polyclonal to p47 phox the recommendation of the optimal neutralizing antibody. Model projected therapeutic dose is one of the many candidate selection criteria commonly used in drug discovery.11,12It is.