COMPUTERIZED CONTROL OF HIGH-THROUGHPUT TRANSDERMAL EXPERIMENTAL PROCESSING AND DIGITAL ANALYSIS OF COMPARATIVE SAMPLES

• US 20080182293A1
• Filed: 08/24/2006
• Published: 07/31/2008
• Est. Priority Date: 07/14/2000
• Status: Abandoned Application

• Current Assignee: TransForm Pharmaceuticals, Inc. (Johnson & Johnson)
• Original Assignee: TransForm Pharmaceuticals, Inc. (Johnson & Johnson)
• Inventors: Lemmo, Anthony V., Gonzalez-Zugasti, Javier P., Johnson, Alasdair Y., Cima, Michael J., Levinson, Douglas A., Almarsson, Orn, Chen, Hongming, McNulty, Christopher
• Application Number:
  US11/467,091
• Publication Number:
  US 20080182293A1
• Time in Patent Office: Days
• US Class Current: 435/40.52
• CPC Class Codes: G01N 13/00 Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects scanning-probe techniques or apparatus G01Q
• CPC Class Codes: G16B 35/00 ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
• CPC Class Codes: G16C 20/60 In silico combinatorial chemistry
• CPC Class Codes: G16C 20/64 Screening of libraries

Abstract

The present invention relates to computer-controlled high-throughput systems, computer-program products, and methods of use to prepare a large number of component combinations, at varying concentrations and identities, at the same time, and high-throughput methods to test tissue barrier transfer, such as transdermal transfer, of components in each combination. The methods of the present invention allow determination of the effects of inactive components, such as solvents, excipients, enhancers, adhesives and additives, on tissue barrier transfer of active components, such as pharmaceuticals. The invention thus encompasses the use of computer-controlled high-throughput systems, computer-program products, and methods of high-throughput testing of pharmaceutical compositions or formulations in order to determine the overall optimal composition or formulation for improved tissue transport, such as transdermal transport.

Claims

1. In a computing system designed for controlling automated high-throughput processing of an array having a large number of samples in order to identify at least one optimal formulation for tissue barrier transfer of a compound of interest, and wherein the computing system provides computer-aided design and processing of an experimental formulation for each sample, each experimental formulation having the compound of interest and being based on at least one experimental variable which is varied as to at least some samples so that the effect in terms of changes in the tissue barrier transfer of the compound of interest due to at least one experimental variable can be identified across a large number of comparative samples, a method of analyzing data from the large number of comparative samples comprising:

inputting into the computing system at least one compound of interest and any additional components to be included in a plurality of experimental formulations that are to be designed for the array of samples;

inputting into the computing system at least one selected experimental variable of interest that is to be varied as between at least some samples;

the computing system thereafter designing a plurality of unique experimental formulations that differ as between at least some samples of the array based on the at least one selected experimental variable of interest that is varied as between the at least some samples of the array;

the computing system thereafter controlling a process by which an experimental formulation for each sample is prepared and tested for the at least one compound of interest to transfer across a tissue barrier in order to create changes in tissue barrier transfer across a large number of comparative samples for the at least one compound of interest;

inputting into the computing system detected changes in tissue barrier transfer across the large number of comparative samples for the at least one compound of interest; and

the computing system thereafter automatically screening the large number of samples by identifying those samples, based on data relating to tissue barrier transfer for the at least one compound of interest, that are most likely to lead to at least one optimal formulation for a compound of interest to transfer across the tissue barrier.

3. A method as in claims 1 or 2, wherein the at least one selected experimental variable of interest that is to be varied as between at least some samples of the array is varied as to at least one of the following:

concentration of the at least one compound of interest, concentration of components in the experimental formulations, identity of components, combination of components, identity of tissue, amount of tissue, solvent, pH, temperature, or experimental formulation physical state.

4. A method as in claims 1 or 2, wherein the additional components include at least one of a chemical enhancer, solubility enhancer, enhancer, solvent, carrier, diluent, stabilizer, additive, or adhesive.

5. A method as in claims 1 or 2, wherein the at least one optimal formulation has at least one of a desired characteristic, compatibility with the at least one compound of interest, maximum flux of the at least one compound of interest through the tissue barrier, or minimal toxicity.

6. A method as in claim 1 or 2, wherein the detected changes are obtained by detecting at least one of the following;

flux of the at least one compound of interest;

permeability of the at least one compound of interest through the tissue barrier;

solubility of the at least one compound of interest in the tissue barrier;

diffusivity of the at least one compound of interest in the tissue barrier;

amount of the at least one compound of interest in the tissue barrier;

concentration of the at least one compound of interest in the experimental formulation;

or

concentration of the at least one compound of interest in a diffusion reservoir disposed across the tissue barrier from the experimental formulation.

7. A method as in claims 1 or 2, wherein the experimental formulation for each sample is prepared and tested in an array having a plurality of sample locations, each sample location comprising:

a sample substrate having an experimental formulation;

a tissue barrier overlaying the sample substrate, the tissue barrier configured for receiving the at least one compound of interest from the sample substrate; and

a reservoir in fluid communication with the tissue barrier and opposite of the sample substrate, the reservoir containing a reservoir medium configured for receiving the at least one compound of interest from the tissue barrier.

8. A method as in claim 7, further comprising cutting the tissue barrier between adjacent samples to prevent lateral transfer of the at least one compound of interest between the adjacent samples.

9. A method as in claims 1 or 2, wherein the computing system automatically determines each experimental formulation of each array sample based on at the least one compound of interest and the at least one experimental variable for a sample of the array.

10. A method as in claims 1 or 2, wherein the tissue barrier is selected from the group consisting of skin, stratum corneum, lung, tracheal, nasal, placental, vaginal, rectal, colon, gut, stomach, bladder, corneal, cadaver, engineered tissue, and combinations thereof.

2. In a computing system designed for controlling automated high-throughput processing of an array having a large number of samples in order to identify at least one optimal formulation for tissue barrier transfer of a compound of interest, and wherein the computing system provides computer-aided design and processing of an experimental formulation for each sample, each experimental formulation having the compound of interest and being based on at least one experimental variable which is varied as to at least some samples so that the effect in terms of changes in the tissue barrier transfer of the compound of interest due to at least one experimental variable can be identified across a large number of comparative samples, a computer-program product for implementing a method of analyzing data from the large number of comparative samples, the computer-program product comprising a computer-readable medium containing computer-executable instructions for causing the computing system to execute the method, and wherein the method is comprised of:

inputting into the computing system at least one compound of interest and any additional components to be included in a plurality of experimental formulations that are to be designed for the array of samples;

inputting into the computing system at least one selected experimental variable of interest that is to be varied as between at least some samples of the array;

the computing system thereafter designing a plurality of unique experimental formulations that differ as between at least some samples of the array based on the at least one selected experimental variable of interest that is varied as between the at least some samples of the array;

the computing system thereafter controlling a process by which an experimental formulation for each sample is prepared and tested for the at least one compound of interest to transfer across a tissue barrier in order to create changes in tissue barrier transfer across a large number of comparative samples for the at least one compound of interest;

inputting into the computing system detected changes in tissue barrier transfer across the large number of comparative samples for the at least one compound of interest; and

the computing system thereafter automatically screening the large number of samples by identifying those samples, based on data relating to tissue barrier transfer for the at least one compound of interest, that are most likely to lead to at least one optimal formulation for a compound of interest to transfer across the tissue barrier.