In Vitro In Vivo Correlation
In Vitro In Vivo Correlation - Related Videos
01:20
Drug Product Performance: In Vitro–In Vivo Correlation
0 Views •
2025
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while adhering...
02:20
Correlations
0 Views •
2020
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
02:37
In Vivo Assay to Correlate Bacterial Bioluminescence with Cell Density
0 Views •
2025
Source: Brodl, E., et al. In Situ Measurement and Correlation of Cell Density and Light Emission of Bioluminescent Bacteria. J. Vis. Exp. (2018).This video demonstrates the measurement and correlation of bioluminescence with cell density in transformed bacteria. A single bacterial colony is used to initiate a liquid culture. The culture is placed in a well at the desired cell concentration. An antibiotic and inducer are added to express the gene required for bacterial bioluminescence. Readings...
14:21
Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
0 Views •
Cited by 21 •
2013
A method to image ex vivo pulmonary resection specimens with optical frequency domain imaging (OFDI) and obtain precise correlation to histology is described, which is essential to developing specific OFDI interpretation criteria for pulmonary pathology. This method is applicable to other tissue types and imaging techniques to obtain precise imaging to histology correlation for accurate image interpretation and assessment. Imaging criteria established with this technique would then be...
12:19
In vitro and in vivo Bioluminescence Reporter Gene Imaging of Human Embryonic Stem Cells
0 Views •
Cited by 28 •
2008
With the growing interest in stem cell therapies, molecular imaging techniques are ideal for monitoring stem cell behavior after transplantation. Luciferase reporter genes have enabled non-invasive, repetitive assessment of cell survival, location, and proliferation in vivo. This video will demonstrate how to track hESC proliferation in a living mouse.
FAQs
The relationship is established by comparing how a dosage form releases drug in laboratory dissolution testing with how the drug appears in the body during pharmacokinetic evaluation. Mathematical modeling helps align these datasets, while deconvolution can relate plasma concentration measurements to absorption behavior. This comparison shows how closely in vitro release reflects observed clinical performance.
Mathematical modeling provides a structured way to compare dissolution profiles with pharmacokinetic measures rather than relying on visual inspection alone. It can relate laboratory release behavior to plasma drug concentration, exposure, or absorption rate. This supports prediction of how a formulation may perform clinically and helps researchers interpret the connection between dosage-form testing and in vivo results.
Deconvolution helps interpret pharmacokinetic data by working from plasma drug concentration measurements toward an estimate of the drug’s absorption behavior over time. That absorption information can then be compared with the dosage form’s in vitro dissolution or release profile. Its role is therefore to support a more direct comparison between laboratory release and what occurs after administration.
IVIVC analysis may compare dissolution or release profiles with several pharmacokinetic measures, including plasma drug concentration, overall exposure, and absorption rate. These measures describe different aspects of drug performance: concentration reflects drug levels over time, exposure summarizes the amount of drug represented in the body, and absorption rate indicates how quickly absorption occurs. The selected measure shapes the comparison.
A typical application begins with generating dissolution or release profiles for a dosage form, followed by obtaining relevant pharmacokinetic measurements after administration. Researchers then compare the datasets using mathematical modeling and, when appropriate, deconvolution to examine absorption behavior. The resulting relationship can inform formulation decisions, dissolution specifications, bioequivalence assessment, or whether further in vivo studies may be needed.
During formulation development, researchers can use the relationship between laboratory release and clinical performance to evaluate how dosage-form behavior may affect drug absorption. Comparing dissolution profiles with pharmacokinetic outcomes provides information for refining a formulation before relying extensively on additional clinical testing. This makes laboratory evidence more useful for guiding development decisions and assessing whether changes may influence performance.
An established relationship between in vitro release and in vivo performance can provide predictive evidence about how a dosage form is likely to behave clinically. That evidence may support decisions about the need for additional in vivo studies, rather than automatically requiring extensive testing for every development question. Its value depends on how well the laboratory and pharmacokinetic findings correspond.