Correlations between in vitro and in vivo data (IVIVC) are often used during pharmaceutical development in order to reduce development time and optimize the. This presentation gives a bird’s eye view on Dissolution in context with IVIVC. It discusses various levels of Correlations currently in practice. Invitro Invivo study & their correlation shortens the drug development period, economizes the resources and leads to improved product quality. Increased activity.

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It is a drug-development tool that allows estimation of the contributions of three major factors, dissolution, solubility and intestinal permeability that affect oral drug absorption from IR solid oral dosage forms. Introduction An orally administered drug has uviv be released from its dosage form, dissolved in the surrounding fluid and absorbed by the gut wall, in order to enter the blood stream.

In vitro – in vivo correlation was described by both linear and nonlinear polynomial relationship 3.

In Vitro?In Vivo Correlation (IVIVC): A Strategic Tool in Drug Development

Golem Apparatus The instrument is a computer controlled artificial digestive tract, designed for dynamic dissolution testing of oral dosage forms and consisting of four compartments: Numerical deconvolution relies on the availability of a PK profile of drug administered intravenously i. The biorelevant conditions and observation of succeeding dissolution processes in separate compartments provided comprehensive information on the dissolution behavior expected in vivo.

The main advantage of the presented methods was no requirement for additional intravenous drug administration simulated data for i. Volume of distribution was calculated with use of the model based upon a modified version of the Poulin and Theil method [ 13 ].

The bioavailability study can be assessed via plasma or urine data using the following parameters: The mean in vitro dissolution time MDTvitro is the mean time for the drug to dissolve under in vitro dissolution conditions.

Table of Contents Alerts. The pH in stomach compartment was left to change, being influenced by the studied formulation. Nowadays computer models are often used to link in vitro results with in vivo outcomes. The In vitro release data of a dosage form containing the active substance serve as characteristic in vitro property, while the In vivo performance is generally represented by the time course of the plasma concentration of the active substance. The pharmaceutical industry has been striving to find a ways to saving precious resources in relevance to the budgets and increasing cost of drug development.


Deconvolution results for buffered batches are presented in Figures 11 and Essentially at this stage a level A correlation is assumed and the formulation strategy is initiated with the objective of achieving the target in vitro profile. Figure 10 depicts simulation of in vivo profile of batch Physiological conditions are maintained in the system with the possibility of adjusting all method parameters, for example, pH, volumes, transit times, temperature, and so forth.

All three reference batches showed almost identical dissolution behavior see Figure 5which confirmed that they were interchangeable in the dissolution experiments. For and optimization, only two formulations were used and a middle one with medium dissolution rate was predicted.

Generally, the in-vitro property is the rate or extent of drug dissolution or release while the in-vivo response is the plasma drug concentration or amount of drug absorbed. Multiple point level C correlation may be used to justify a biowaivers provided that the correlation has been established over the entire dissolution profile with one or more pharmacokinetic parameters of interest. Out of this product development cycle and In vivo characterization and, of course, extensive in vitro testing is often developed what can be referred to as retrospective IVIVC.

Sortis03 was tested twice, in two PK studies. Due to its obvious limitations, the usefulness of a Level C correlation is limited in predicting in vivo drug performance.

This implies no more requirements for i. Since atorvastatin PK p. From the generic batches, four contained amorphous form of the drug batches 85, 82, 01, and 02which had higher intrinsic dissolution rate compared with the crystal form contained in the generic batch80 and all the reference batches Lipitor, Sortis06, Sortis10 [ 10 ].

Based on this information a priori in vitro methods are usually then developed and a theoretical in vitro target is established, which should achieve the desired absorption profile [ 518 ]. This information can also be used into the activities of scale-up, pivotal batch manufacture, and process validation culminating in registration, approval and subsequent postapproval scale-up and other changes.

This level refers to the relationship between one or more pharmacokinetic parameters of interest C maxAUC, or any other suitable parameters and amount of drug dissolved at several time point of dissolution profile. Having an established IVIVC can help avoid bioequivalence studies by using the dissolution profile from the changed formulation, and subsequently predicting the in vivo concentration-time profile [ 2441 ].


It should be, however, pointed out that in order to achieve such a relatively simple mathematical model, it is necessary to provide physiologically relevant dissolution results.

To overcome these problems it is desirable to develop in vitro tests that reflect can bioavailability data.

Another approach, has been proposed is based on systems of differential equations [ 15 ]. To receive news and publication updates for BioMed Research International, enter your email address in the box below. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and correlatiin are credited.

IVIVC – Wikipedia

Prediction of generic batch80 profile with linear model built on batch80 and Lipitor. Instead, more sophisticated numerical deconvolution was employed. Such a tool shortens the drug development period, economizes the resources and leads to improved product quality. When there is no IVIVC, the tolerance limits may be derived from the spread of in vitro dissolution data of batches with demonstrated acceptable in vivo performance biobatch or by demonstrating bioequivalence between batches at the proposed upper and lower limit of the dissolution range the so called side batch concept.

In general, predictions of were good, but the descending curves could not properly reflect the in vivo behavior resulting in high AUC PE.

A Strategic Tool in Drug Development. The dissolution testing was performed with a basic universal dissolution method based on a faithful simulation of the GI tract.

In vitro – in vivo correlation: from theory to applications.

The withdrawal of the medium and dissolved API was considered in the calculations. Any appropriate approach related to this objective may be used for evaluation of predictability [ 523 ]. Predicted plasma concentration and consequent AUC and C max could be calculated using convolution or any other appropriate modeling techniques [ 24 ].