Methods for predicting drug response
AssigneeCeltrix Pharmaceuticals, Inc.
InventorDesmond Mascarenhas
Life of this patent
Estimating the term…
Abstract
Methods are provided for formulating models for predicting whether subjects will respond to a particular drug or treatment regimen. Biochemical profiles are obtained (by measuring a variety or biochemical parameters) for a test group before and after treatment with the drug or regimen. These values are used formulate a specific predictive method for the particular drug or treatment regimen. The predictive measurement is then used with biochemical parameters obtained from a subject to predict whether that subject will respond to the particular drug or treatment regimen. The predictive methods may also be used to determine the equivalence of different dosages of a drug.
Claims19
A method for formulating a predictive model of a subject's responsiveness to a drug or treatment regimen, comprising:
- selecting a cohort of test subjects;
- obtaining a biochemical profile from each of the test subjects by measuring various biochemical parameters;
- administering the drug or treatment regimen;
- measuring the effects of the drug or treatment regimen;
- performing correlation tests between the biochemical parameters and the effects of the drug or treatment regimen;
- selecting biochemical parameters that correlate with the effects of the drug or treatment regimen;
- and
- deriving a predictive relationship between the selected biochemical parameters and the response to the drug or treatment regimen.
A method for predicting the effect of the administration of insulin-like growth factor I (IGF-I) on grip strength (PE.sub.GS) or fat body mass (PE.sub.FBM), comprising:
- measuring the subject's serum level of thyroid stimulating hormone ("[TSH]");
- measuring the subject's serum level of total tetraiodothyronine ("[tT4]");
- measuring the subject's serum level of sex hormone binding globulin ("[SHBG]";
- measuring the subject's serum level of IGF-I ("[IGF-I]");
- and
- calculating said subject's responsiveness by the formula ##EQU8## wherein [TSH] is the basal concentration of TSH in .mu.IU/ml, [tT4] is the basal concentration of tT4 in ng/ml, [SHBG] is the basal concentration of SHBG in nmol/liter, and [IGF-I] is the basal concentration of IGF-I in ng/ml.
A method for predicting the effect of the administration of insulin-like growth factor I (IGF-I) on grip strength (PE.sub.GS), comprising:
- measuring the subject's serum level of thyroid stimulating hormone ("[TSH]");
- measuring the subject's serum level of total tetraiodothyronine ("[tT4]");
- measuring the subject's serum level of sex hormone binding globulin ("[SHBG]";
- measuring the subject's serum level of IGF-I ("[IGF-I]");
- measuring the subject's serum level of procollagen peptide ("[ClCP]");
- and
- calculating said subject's responsiveness by the formula ##EQU9## wherein [TSH] is the basal concentration of TSH in .mu.IU/ml, [tT4] is the basal concentration of tT4 in ng/ml, [SHBG] is the basal concentration of SHBG in nmol/liter, [IGF-I] is the basal concentration of IGF-I in ng/ml, and [ClCP] is the basal concentration of ClCP in ng/ml.
A method for predicting the effect of the administration of insulin-like growth factor I (IGF-I) on fat body mass (PE.sub.FBM) in a subject, comprising:
- measuring the subject's serum level of thyroid stimulating hormone ("[TSH]");
- measuring the subject's serum level of total tetraiodothyronine ("[tT4]");
- measuring the subject's serum level of sex hormone binding globulin ("[SHBG]";
- measuring the subject's serum level of IGF-I ("[IGF-I]");
- measuring the subject's serum level of total triiodothyronine ("[tT3]");
- and
- calculating said subject's responsiveness by the formula ##EQU10## wherein [TSH] is the basal concentration of TSH in .mu.IU/ml, [tT4] is the basal concentration of tT4 in ng/ml, [SHBG] is the basal concentration of SHBG in nmol/liter, [IGF-I] is the basal concentration of IGF-I in ng/ml, and [tT3] is the basal concentration of tT3 in ng/dl.
A method for predicting the effect of the administration of insulin-like growth factor I (IGF-I) on hip bone mineral density (PE.sub.BMD) in a subject, comprising:
- measuring the subject's serum level of procollagen peptide ("[ClCP]");
- measuring the subject's serum level of total tetraiodothyronine ("[tT4]");
- measuring the subject's serum level of total triiodothyronine ("[tT3]");
- measuring the subjects seru level of cortisol ("[cort]");
- and
- calculating said subject's responsiveness by the formula ##EQU11## wherein [ClCP] is the basal concentration of ClCP in ng/ml, [tT4] is the basal concentration of tT4 in ng/ml, [tT3] is the basal concentration of tT3 in ng/dl, and [cort] is the basal concentration of cortisol in .mu.g/dl.
A diagnostic kit for predicting a subject's responsiveness to an insulin-like growth factor I (IGF-I) drug or treatment regiment, comprising:
- at least one set of reagents for measuring biochemical parameters, resulting in at least one biochemical value;
- and
- a means for utilizing one or more biochemical values to predict the subject's responsiveness to said IGF-I drug or treatment regimen;
- wherein said biochemical parameters are selected from the group consisting of serum thyroid stimulating hormone ("[TSH]"), total serum tetraiodothyronine ("[tT4]"), serum sex hormone binding globulin ("[SHBG]"), serum IGF-I ("[IGF-I]"), total serum triiodothyronine ("[tT3]"), serum cortisol ("[cort]"), and serum procollagen peptide ("[ClCP]"), and said predictive relationship is selected from the group consisting of ##EQU12##
A method for determining equivalence of a first and a second dosage of a drug for a response, comprising:
- measuring biochemical parameters from a first and second cohort of subjects, thereby obtaining biochemical values;
- administering the first dosage of the drug to said first cohort of subjects;
- administering the second dosage of the drug to said second cohort of subjects;
- measuring responses to said first and second dosages in the first and second cohorts, thereby obtaining response values;
- calculating predicted response values to said drug utilizing a predictive relationship, said biochemical values, and said response values for each of said first and second cohorts;
- performing linear regression analysis on said predicted response values and said response values for each of said first and second cohorts;
- comparing said linear regression analysis of said first cohort with the linear regression analysis of said second cohort;
- and
- determining if the first and second dosages are equivalent with respect to the response.
Dependencies are inferred from the claim text.