This document provides an overview and guidance on conducting a bioequivalence blood level study to demonstrate equivalence between a test and reference veterinary drug product. It discusses key considerations for the study protocol including selecting the reference product and dose, study design, subject selection, sampling schedule, and criteria for excluding data. The goal is to establish bioequivalence by showing no significant difference in the rate and extent of drug absorption between products, as measured by relevant pharmacokinetic parameters like Cmax and AUC.
Regulatory consideration for Biosimilars by FDAGopal Agrawal
This document discusses regulatory considerations for biosimilars by the FDA. It provides an overview of the need for biosimilars, the FDA's history of approving guidelines for biosimilars in the US and Europe, and key clinical pharmacology data needed to demonstrate biosimilarity to a reference product. This includes evaluating exposure and response, addressing residual uncertainty, and making assumptions about analytical quality and similarity based on extensive structural and functional studies. The author is Gopal Agrawal from the Department of Biotechnology at NIPER-MOHALI.
Regulatory consideration for biosimilars by fdaGopal Agrawal
Need for biosimilars
First to approve guidelines for biosimilars
Clinical Pharmacology Data to Support a Demonstration of Biosimilarity to a Reference Product (as per FDA)
1. The document discusses bioequivalence, which refers to two drug formulations producing comparable levels of the active substance in the bloodstream and providing equivalent therapeutic effects.
2. It defines bioequivalence and outlines the objectives of bioequivalence studies, which are conducted to establish interchangeability between generic and brand-name drugs.
3. The types of bioequivalence studies discussed are in vivo studies, involving human subjects, and in vitro dissolution testing to compare drug release characteristics. Techniques used include blood sampling, analytical methods like HPLC, and statistical tests to determine bioequivalence.
1.BIOEQUIVALENCE AND DRUG PRODUCT ASSESSMENT.pptxKrishnapriyaVH1
This document summarizes key concepts regarding bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which the active ingredient becomes available at the site of drug action when administered at the same molar dose under similar conditions. The document discusses study designs such as fasting, food effect, and multiple dose studies. It also covers regulations, biowaivers, and the purpose of bioequivalence studies to demonstrate that generic drug products are therapeutically equivalent to the brand name version.
This document provides an overview of bioequivalence and drug product assessment. It defines key terms like bioequivalence and pharmaceutical equivalence. It discusses the need for and types of bioequivalence studies. The document outlines the objectives and statistical evaluation of bioequivalence data. It also describes different study designs like randomized crossover designs and factors to consider like food effects. Furthermore, it discusses the types of evidence required to establish bioequivalence and conditions for biowaivers.
The document discusses regulatory requirements for bioequivalence studies from the FDA and WHO perspectives. It defines key terms like bioavailability, bioequivalence, reference product and generic products. It also outlines FDA guidelines on bioequivalence documentation for INDs, NDAs and ANDAs. Test procedures for establishing bioequivalence include pharmacokinetic, pharmacodynamic and clinical studies according to FDA regulations. Pharmacokinetic studies are emphasized for directly measuring drug absorption. Study design considerations like single vs multiple dose studies are also covered.
This document provides guidelines for conducting bioavailability and bioequivalence studies. It discusses the objectives of such studies, when they are necessary, acceptable study designs, required documentation, and criteria for establishing equivalence between products. The key points covered include:
- The goals of ensuring consistent quality, safety and efficacy of pharmaceuticals.
- Types of studies used, including pharmacokinetic, pharmacodynamic and clinical endpoint trials.
- Standard study designs like randomized crossover trials and considerations for study populations, sampling schedules, and statistical analysis.
- Criteria for waiving BE studies under certain conditions where in vitro dissolution testing can be used instead.
Bioequiuvalence and drug product assessmentNishaN19p7504
This document summarizes the key concepts of bioavailability and bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which an active drug ingredient becomes available at the site of action when administered in the same molar dose under similar conditions. The document outlines the objectives, types of equivalence studies, statistical evaluation methods, and types of evidence required to establish bioequivalence according to regulatory agencies like FDA and WHO. It also discusses biowaivers and the biopharmaceutics classification system used to determine when in vivo studies can be waived.
Regulatory consideration for Biosimilars by FDAGopal Agrawal
This document discusses regulatory considerations for biosimilars by the FDA. It provides an overview of the need for biosimilars, the FDA's history of approving guidelines for biosimilars in the US and Europe, and key clinical pharmacology data needed to demonstrate biosimilarity to a reference product. This includes evaluating exposure and response, addressing residual uncertainty, and making assumptions about analytical quality and similarity based on extensive structural and functional studies. The author is Gopal Agrawal from the Department of Biotechnology at NIPER-MOHALI.
Regulatory consideration for biosimilars by fdaGopal Agrawal
Need for biosimilars
First to approve guidelines for biosimilars
Clinical Pharmacology Data to Support a Demonstration of Biosimilarity to a Reference Product (as per FDA)
1. The document discusses bioequivalence, which refers to two drug formulations producing comparable levels of the active substance in the bloodstream and providing equivalent therapeutic effects.
2. It defines bioequivalence and outlines the objectives of bioequivalence studies, which are conducted to establish interchangeability between generic and brand-name drugs.
3. The types of bioequivalence studies discussed are in vivo studies, involving human subjects, and in vitro dissolution testing to compare drug release characteristics. Techniques used include blood sampling, analytical methods like HPLC, and statistical tests to determine bioequivalence.
1.BIOEQUIVALENCE AND DRUG PRODUCT ASSESSMENT.pptxKrishnapriyaVH1
This document summarizes key concepts regarding bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which the active ingredient becomes available at the site of drug action when administered at the same molar dose under similar conditions. The document discusses study designs such as fasting, food effect, and multiple dose studies. It also covers regulations, biowaivers, and the purpose of bioequivalence studies to demonstrate that generic drug products are therapeutically equivalent to the brand name version.
This document provides an overview of bioequivalence and drug product assessment. It defines key terms like bioequivalence and pharmaceutical equivalence. It discusses the need for and types of bioequivalence studies. The document outlines the objectives and statistical evaluation of bioequivalence data. It also describes different study designs like randomized crossover designs and factors to consider like food effects. Furthermore, it discusses the types of evidence required to establish bioequivalence and conditions for biowaivers.
The document discusses regulatory requirements for bioequivalence studies from the FDA and WHO perspectives. It defines key terms like bioavailability, bioequivalence, reference product and generic products. It also outlines FDA guidelines on bioequivalence documentation for INDs, NDAs and ANDAs. Test procedures for establishing bioequivalence include pharmacokinetic, pharmacodynamic and clinical studies according to FDA regulations. Pharmacokinetic studies are emphasized for directly measuring drug absorption. Study design considerations like single vs multiple dose studies are also covered.
This document provides guidelines for conducting bioavailability and bioequivalence studies. It discusses the objectives of such studies, when they are necessary, acceptable study designs, required documentation, and criteria for establishing equivalence between products. The key points covered include:
- The goals of ensuring consistent quality, safety and efficacy of pharmaceuticals.
- Types of studies used, including pharmacokinetic, pharmacodynamic and clinical endpoint trials.
- Standard study designs like randomized crossover trials and considerations for study populations, sampling schedules, and statistical analysis.
- Criteria for waiving BE studies under certain conditions where in vitro dissolution testing can be used instead.
Bioequiuvalence and drug product assessmentNishaN19p7504
This document summarizes the key concepts of bioavailability and bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which an active drug ingredient becomes available at the site of action when administered in the same molar dose under similar conditions. The document outlines the objectives, types of equivalence studies, statistical evaluation methods, and types of evidence required to establish bioequivalence according to regulatory agencies like FDA and WHO. It also discusses biowaivers and the biopharmaceutics classification system used to determine when in vivo studies can be waived.
The document discusses bioavailability and bioequivalence testing, which ensures that generic pharmaceutical products provide the same clinical effect as their branded counterparts. It describes important pharmacokinetic parameters used to assess bioequivalence like AUC, Cmax, and Tmax. Current regulatory requirements for demonstrating bioequivalence from agencies like the FDA and EMA are also reviewed.
This document discusses bioequivalence studies, which compare the bioavailability of generic drugs to their branded counterparts. It covers key aspects of study design, including assessing pharmacokinetic parameters like AUC and Cmax in fasting and fed states using single and multiple dose studies. Analytical methods must be validated to measure drug concentrations accurately. Statistical tests like ANOVA are used to determine if generic and branded versions are bioequivalent by having equivalent rates and extents of drug absorption. The goal is to demonstrate generic drugs deliver the same therapeutic effects as the original drug.
The document discusses general considerations for conducting bioavailability and bioequivalence studies for orally administered drugs, including the regulatory objectives, methods used to evaluate bioavailability and demonstrate bioequivalence, and special topics like food effect and long half-life drugs. It provides background on key concepts like bioavailability, bioequivalence and their regulatory definitions as well as guidance on study design and requirements for different types of drug products and changes.
This slide show reflects general considerations of Bio-availability & Bio-equivalence studies for orally administered drugs. The presentation also accommodates US - FDA's approach and specific recommendations for such studies.
Bioavailability and bioequivalance studies and Regulatory aspectsRumel Dey
This document discusses bioavailability and bioequivalence studies, including definitions, protocols, and regulatory requirements. It defines key terms like bioavailability, bioequivalence, pharmaceutical equivalents, and therapeutic equivalents. It describes the reference and test products used in studies and compares NDA and ANDA review processes. It provides details on the design, conduct, and statistical evaluation of bioavailability and bioequivalence studies. It also discusses biowaiver options and the use of pharmacodynamic and dissolution studies.
This document discusses bioavailability and bioequivalence studies. It begins with definitions of bioavailability and bioequivalence. It then discusses the objectives and requirements of bioavailability and bioequivalence studies for new drug applications and abbreviated new drug applications. The document reviews various study designs that can be used to assess bioequivalence including crossover, parallel, and replicate designs. It also discusses when bioequivalence studies are not necessary. The document concludes with references.
Regulatory aspects of bioequivalence iss xr4-revisedE. Dennis Bashaw
The document provides an overview of regulatory aspects of pharmacokinetics related to bioequivalence. It discusses key bioequivalence terminology including pharmaceutical equivalents, pharmaceutical alternatives, and therapeutic equivalents. It also outlines FDA regulations and guidance around bioequivalence testing, including acceptable study designs and criteria for determining bioequivalence. Specific topics covered include examples of bioequivalence studies for foods effects, orally administered locally acting drugs, and narrow therapeutic index drugs. The document emphasizes that bioequivalence evaluations are done on a case by case basis depending on the specific drug.
This document discusses the design and evaluation of bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which the active drug becomes available at the site of action when administered under similar conditions. The document discusses various study designs including crossover, replicate, and non-replicate designs. It also covers sampling, criteria for comparisons between test and reference products, and the roles of bioequivalence studies in drug review and approval processes.
This document provides an overview of bioequivalence and related concepts. It defines bioequivalence as similar bioavailability between two products containing the same active ingredient in the same molar dose. The goals of bioequivalence studies are to establish therapeutic equivalence between a new formulation and the reference drug and to allow approval of generic versions. Key parameters used to assess bioequivalence are AUC, Cmax, and Tmax. Products are considered therapeutically equivalent and interchangeable if they are both pharmaceutically equivalent/alternative and bioequivalent.
Generic drugs must demonstrate bioequivalence to the brand name drug to be approved by the FDA. Bioequivalence means there is no significant difference in how fast or how much of the drug reaches the bloodstream. It is measured by comparing the rate (Cmax) and extent (AUC) of absorption between a generic and the brand name drug. Conducting in vivo studies is the most common way to establish bioequivalence, though in vitro dissolution testing or a biowaiver may also be granted under certain conditions. If bioequivalence is demonstrated, it confirms that generics are as safe and effective as their brand name counterparts.
Bioequivalence studies ( Evaluation and Study design)Selim Akhtar
The document discusses various aspects of bioequivalence studies including study designs and evaluation. It describes four main study designs - pilot studies, replicate designs, non-replicate designs, and food-effect studies. It also discusses evaluating bioequivalence through comparative pharmacokinetic studies, pharmacodynamic studies, clinical trials, in vitro dissolution testing, and other approaches. The key aspects covered are parameters for determining bioequivalence like AUC and Cmax, study considerations for highly variable drugs, and the role of in vitro tests in bioequivalence assessments.
BA-BE Bio-availability and Bio-equivalencyDr. Jigar Vyas
This document discusses bioavailability and bioequivalence testing. It defines key terms like bioavailability, pharmaceutical equivalents, bioequivalence and provides details on important pharmacokinetic parameters used to assess bioequivalence like AUC, Cmax and Tmax. It describes the goals and requirements of bioequivalence studies according to regulatory agencies like FDA. It also summarizes study design considerations and statistical analysis methods used to determine bioequivalence between test and reference products.
Bioavailability and Bioequivalence StudiesPranav Sopory
BA and BE studies.
Seminar presented in All India Institute of Medical Sciences (AIIMS - New Delhi).
Focus in Pharmacokinetic parameters (Cmax, AUC)
Single dose PK study, Steady state PK study, Modified drug release PK study, In vivo mechanisms, invitro mechanisms, Pharmacodynamic Study, Comparatice Clinical Trials. Biowavers and Biosimilimars.
Reference: CDSCO guideline, USFDA guideline, ICH guidelines
This document discusses bioavailability and bioequivalence studies. It provides details on key pharmacokinetic parameters like AUC, Cmax, and Tmax that are evaluated in bioequivalence studies to determine if a generic drug is equivalent to a brand name drug. The document outlines current bioequivalence requirements set by various regulatory agencies like FDA, Health Canada, and others. It also discusses study design considerations, statistical analysis methods, and validation of bioanalytical methods used to evaluate bioequivalence.
This document discusses bioavailability and bioequivalence of drug products. It defines key terms like bioavailability, bioequivalence, and outlines considerations for bioavailability study design such as absolute vs relative bioavailability. Methods for measuring bioavailability include pharmacokinetic methods like plasma level time studies and urinary excretion studies, as well as pharmacodynamic methods like acute pharmacological response and therapeutic response. Criteria for determining bioequivalence and design of pharmacokinetic studies are also covered.
This document discusses bioavailability and bioequivalence of drug products. It begins by defining key terms like bioavailability, bioequivalence, and drug product performance. It describes considerations for bioavailability and bioequivalence study design, including measurements of bioavailability through pharmacokinetic and pharmacodynamic methods. The document also discusses the objectives, design, and criteria for establishing bioequivalence of drug products, as well as an overview of the Biopharmaceutics Classification System (BCS).
This document discusses bioavailability and bioequivalence of drug products. It begins by defining key terms like bioavailability, bioequivalence, and drug product performance. It describes considerations for bioavailability and bioequivalence study design, including measurements of bioavailability through pharmacokinetic and pharmacodynamic methods. The document also discusses the objectives, design, and criteria for establishing bioequivalence of drug products. It provides an overview of the biopharmaceutics classification system (BCS) which classifies drugs based on their solubility and permeability properties.
This document provides guidance on bioanalytical method validation. It discusses validation parameters such as selectivity, accuracy, precision, recovery, calibration curves, and stability. Full validation is recommended when developing a new bioanalytical method or validating a revised method. Partial validation may be done for modifications like changes in matrix, reagents, or instrumentation. Cross-validation between methods and labs is also addressed. Recommendations are provided for chemical and microbiological/ligand-binding assay validation.
The document provides an overview of common issues seen by regulators in evaluating bioequivalence studies from the perspective of a regulatory evaluator. It discusses key aspects of study design, clinical conduct, analytical methods, pharmacokinetic analysis, and statistical analysis that are evaluated. Examples of specific studies that were not accepted due to issues such as analytical problems, clinical inconsistencies, and use of an inappropriate reference product are also provided. The evaluator emphasizes that justification for exclusion of data and consideration of outliers is important in statistical analysis.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
The document discusses bioavailability and bioequivalence testing, which ensures that generic pharmaceutical products provide the same clinical effect as their branded counterparts. It describes important pharmacokinetic parameters used to assess bioequivalence like AUC, Cmax, and Tmax. Current regulatory requirements for demonstrating bioequivalence from agencies like the FDA and EMA are also reviewed.
This document discusses bioequivalence studies, which compare the bioavailability of generic drugs to their branded counterparts. It covers key aspects of study design, including assessing pharmacokinetic parameters like AUC and Cmax in fasting and fed states using single and multiple dose studies. Analytical methods must be validated to measure drug concentrations accurately. Statistical tests like ANOVA are used to determine if generic and branded versions are bioequivalent by having equivalent rates and extents of drug absorption. The goal is to demonstrate generic drugs deliver the same therapeutic effects as the original drug.
The document discusses general considerations for conducting bioavailability and bioequivalence studies for orally administered drugs, including the regulatory objectives, methods used to evaluate bioavailability and demonstrate bioequivalence, and special topics like food effect and long half-life drugs. It provides background on key concepts like bioavailability, bioequivalence and their regulatory definitions as well as guidance on study design and requirements for different types of drug products and changes.
This slide show reflects general considerations of Bio-availability & Bio-equivalence studies for orally administered drugs. The presentation also accommodates US - FDA's approach and specific recommendations for such studies.
Bioavailability and bioequivalance studies and Regulatory aspectsRumel Dey
This document discusses bioavailability and bioequivalence studies, including definitions, protocols, and regulatory requirements. It defines key terms like bioavailability, bioequivalence, pharmaceutical equivalents, and therapeutic equivalents. It describes the reference and test products used in studies and compares NDA and ANDA review processes. It provides details on the design, conduct, and statistical evaluation of bioavailability and bioequivalence studies. It also discusses biowaiver options and the use of pharmacodynamic and dissolution studies.
This document discusses bioavailability and bioequivalence studies. It begins with definitions of bioavailability and bioequivalence. It then discusses the objectives and requirements of bioavailability and bioequivalence studies for new drug applications and abbreviated new drug applications. The document reviews various study designs that can be used to assess bioequivalence including crossover, parallel, and replicate designs. It also discusses when bioequivalence studies are not necessary. The document concludes with references.
Regulatory aspects of bioequivalence iss xr4-revisedE. Dennis Bashaw
The document provides an overview of regulatory aspects of pharmacokinetics related to bioequivalence. It discusses key bioequivalence terminology including pharmaceutical equivalents, pharmaceutical alternatives, and therapeutic equivalents. It also outlines FDA regulations and guidance around bioequivalence testing, including acceptable study designs and criteria for determining bioequivalence. Specific topics covered include examples of bioequivalence studies for foods effects, orally administered locally acting drugs, and narrow therapeutic index drugs. The document emphasizes that bioequivalence evaluations are done on a case by case basis depending on the specific drug.
This document discusses the design and evaluation of bioequivalence studies. It defines bioequivalence as the absence of a significant difference in the rate and extent to which the active drug becomes available at the site of action when administered under similar conditions. The document discusses various study designs including crossover, replicate, and non-replicate designs. It also covers sampling, criteria for comparisons between test and reference products, and the roles of bioequivalence studies in drug review and approval processes.
This document provides an overview of bioequivalence and related concepts. It defines bioequivalence as similar bioavailability between two products containing the same active ingredient in the same molar dose. The goals of bioequivalence studies are to establish therapeutic equivalence between a new formulation and the reference drug and to allow approval of generic versions. Key parameters used to assess bioequivalence are AUC, Cmax, and Tmax. Products are considered therapeutically equivalent and interchangeable if they are both pharmaceutically equivalent/alternative and bioequivalent.
Generic drugs must demonstrate bioequivalence to the brand name drug to be approved by the FDA. Bioequivalence means there is no significant difference in how fast or how much of the drug reaches the bloodstream. It is measured by comparing the rate (Cmax) and extent (AUC) of absorption between a generic and the brand name drug. Conducting in vivo studies is the most common way to establish bioequivalence, though in vitro dissolution testing or a biowaiver may also be granted under certain conditions. If bioequivalence is demonstrated, it confirms that generics are as safe and effective as their brand name counterparts.
Bioequivalence studies ( Evaluation and Study design)Selim Akhtar
The document discusses various aspects of bioequivalence studies including study designs and evaluation. It describes four main study designs - pilot studies, replicate designs, non-replicate designs, and food-effect studies. It also discusses evaluating bioequivalence through comparative pharmacokinetic studies, pharmacodynamic studies, clinical trials, in vitro dissolution testing, and other approaches. The key aspects covered are parameters for determining bioequivalence like AUC and Cmax, study considerations for highly variable drugs, and the role of in vitro tests in bioequivalence assessments.
BA-BE Bio-availability and Bio-equivalencyDr. Jigar Vyas
This document discusses bioavailability and bioequivalence testing. It defines key terms like bioavailability, pharmaceutical equivalents, bioequivalence and provides details on important pharmacokinetic parameters used to assess bioequivalence like AUC, Cmax and Tmax. It describes the goals and requirements of bioequivalence studies according to regulatory agencies like FDA. It also summarizes study design considerations and statistical analysis methods used to determine bioequivalence between test and reference products.
Bioavailability and Bioequivalence StudiesPranav Sopory
BA and BE studies.
Seminar presented in All India Institute of Medical Sciences (AIIMS - New Delhi).
Focus in Pharmacokinetic parameters (Cmax, AUC)
Single dose PK study, Steady state PK study, Modified drug release PK study, In vivo mechanisms, invitro mechanisms, Pharmacodynamic Study, Comparatice Clinical Trials. Biowavers and Biosimilimars.
Reference: CDSCO guideline, USFDA guideline, ICH guidelines
This document discusses bioavailability and bioequivalence studies. It provides details on key pharmacokinetic parameters like AUC, Cmax, and Tmax that are evaluated in bioequivalence studies to determine if a generic drug is equivalent to a brand name drug. The document outlines current bioequivalence requirements set by various regulatory agencies like FDA, Health Canada, and others. It also discusses study design considerations, statistical analysis methods, and validation of bioanalytical methods used to evaluate bioequivalence.
This document discusses bioavailability and bioequivalence of drug products. It defines key terms like bioavailability, bioequivalence, and outlines considerations for bioavailability study design such as absolute vs relative bioavailability. Methods for measuring bioavailability include pharmacokinetic methods like plasma level time studies and urinary excretion studies, as well as pharmacodynamic methods like acute pharmacological response and therapeutic response. Criteria for determining bioequivalence and design of pharmacokinetic studies are also covered.
This document discusses bioavailability and bioequivalence of drug products. It begins by defining key terms like bioavailability, bioequivalence, and drug product performance. It describes considerations for bioavailability and bioequivalence study design, including measurements of bioavailability through pharmacokinetic and pharmacodynamic methods. The document also discusses the objectives, design, and criteria for establishing bioequivalence of drug products, as well as an overview of the Biopharmaceutics Classification System (BCS).
This document discusses bioavailability and bioequivalence of drug products. It begins by defining key terms like bioavailability, bioequivalence, and drug product performance. It describes considerations for bioavailability and bioequivalence study design, including measurements of bioavailability through pharmacokinetic and pharmacodynamic methods. The document also discusses the objectives, design, and criteria for establishing bioequivalence of drug products. It provides an overview of the biopharmaceutics classification system (BCS) which classifies drugs based on their solubility and permeability properties.
This document provides guidance on bioanalytical method validation. It discusses validation parameters such as selectivity, accuracy, precision, recovery, calibration curves, and stability. Full validation is recommended when developing a new bioanalytical method or validating a revised method. Partial validation may be done for modifications like changes in matrix, reagents, or instrumentation. Cross-validation between methods and labs is also addressed. Recommendations are provided for chemical and microbiological/ligand-binding assay validation.
The document provides an overview of common issues seen by regulators in evaluating bioequivalence studies from the perspective of a regulatory evaluator. It discusses key aspects of study design, clinical conduct, analytical methods, pharmacokinetic analysis, and statistical analysis that are evaluated. Examples of specific studies that were not accepted due to issues such as analytical problems, clinical inconsistencies, and use of an inappropriate reference product are also provided. The evaluator emphasizes that justification for exclusion of data and consideration of outliers is important in statistical analysis.
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10th VOF - 11.2 Bioequivalence..pptx
1. Bioequivalence Blood Level Study
Training provided for VICH GL 52:
BIOEQUIVALENCE: BLOOD LEVEL
BIOEQUIVALENCE STUDY
VICH/IN/17/034
Draft 4
15 June 18
2. 2
Disclaimer
> These slides have been provided for training
purposes only. The presenter has made every
attempt to ensure that they are consistent with
relevant VICH guideline(s).
> As always, the original Guideline(s) should be
used as the primary source of information for
working with regulators.
3. 3
Agenda
• What is bioequivalence (BE)?
• Factors/variables that need to be considered when developing blood level BE
study designs
• Information that should be included in a blood level BE study report
• Related topics not covered in this guideline:
• Biowaivers
• BE for “special types” of veterinary products (biomass products, therapeutic proteins
or peptides, medicated premixes,…)
• Other types of equivalence studies (pharmacological endpoint BE or clinical endpoint
BE studies, in vitro dissolution tests,…)
• Human food safety
• Products where blood concentrations may not be indicative of drug levels at site of
action, such as topically active formulations, intramammary products, or….
• The potential need for supportive studies, such as palatability or licking studies (e.g.
transdermal products, medicated blocks).
• Animal species from which multiple blood sampling is difficult (e.g., fish, bees)
4. 4
VICH GL52 vs other guidelines:
• As appropriate, local guidance documents should be followed
for addressing topics that are outside the scope of this BE
guideline.
• The glossary of GL 52 provides a definition of the various
terms used in this guideline and provides some synonymous
terms that may be applied in guidelines available in local
jurisdictions.
• Other relevant VICH guidelines should be consulted, such as
GL 1 and 2 on the validation of analytical methods.
5. 5
What is Bioequivalence (BE)?
•The absence of a difference (within predefined acceptance criteria) in the
bioavailability of the active pharmaceutical ingredient (API) or its metabolite(s)
at the site of action when administered at the same molar dose under similar
conditions in an appropriately designed study.
• The rate and extent of drug absorption is typically estimated on the basis of
drug concentrations in the blood
• typically measured in plasma or serum
• in GL52, the terms blood, plasma and serum are used interchangeably
• So, plasma (or blood) concentrations are used as a surrogate to
demonstrate BE between products
•The assumption is that if two products are BE on the basis of comparative
blood concentration versus time profiles, their safety profiles and effects at
the site of actions will be likewise be indistinguishable.
6. 6
What is Bioequivalence (BE)?
•Blood level BE is established on the basis of predefined acceptance criteria:
• Peak drug concentration (Cmax) and area under the curve (AUC) are considered to
reflect respectively the rate and extent of absorption of the active pharmaceutical
ingredient.
• For demonstration of bioequivalence, the 90% confidence interval for the ratio of the
population means (test product/reference product) for the parameter (Cmax or AUC)
should fall within pre-defined limits
• This comparison in terms of mean ratios is based upon the use of Ln-transformed
data (discussed later in this presentation)
• For most systemically absorbed drug products, the 90% confidence interval about the
mean ratio of test and reference product Cmax or AUC values should be contained
within the limits of 0.80-1.25.
• These limits are defined statistically at a 90% level of confidence (α = 0.05 per tail).
•Assumption: if 2 products are bioequivalent:
• The products are therapeutically “indistinguishable”,
• they will have the same safety and efficacy characterisitics (given no difference in
toxicity of excipients) and they are interchangeable in a clinical setting
7. 7
Blood level study
• Gives the most sensitive and accurate measure of the rate and extent of
absorption of the drugs.
• Therefore, this is the preferred study type to demonstrate product BE and
should be used whenever whole blood/plasma/serum concentrations of
the drug can be measured in the test animals
• Assumes that formulation differences affect only the rate and extent of
drug absorption and that all other pharmacokinetic (e.g., drug clearance
and distribution) and dynamic factors are formulation-independent.
8. 8
In this training…
• In-vivo blood level bioequivalence study only
• Specifics on what should be considered during protocol
development and when generating the final study report
9. 9
Focus
In vivo protocol development
1. Product selection
2. Dose selection
3. Route of administration
4. Study design
5. Subject and species selection
6. Prandial state
7. Exclusion of data from analysis
8. Sample size determination
9. Blood sampling schedule
10. Blood level parameters (in accordance with guideline)
11. Defining the analyte
12. Bioanalytical method validation
Statistical analysis
11. 11
•The drug product to which the in vivo bioequivalence of the
“test” product is compared.
• For a generic test product: an approved “originator”
veterinary product, approved via a full application
• For a modification of an innovator product: the reference
formulation of the approved 'originator' to which the test
formulation is compared.
•The reference product must be from a veterinary medicinal
product batch approved for the region or country where test
product approval is being sought
What is a Reference product?
12. 12
Requirements for a test product?
• Same API (active pharmaceutical ingredient) as reference
product
• Content assay from test & reference ≤5% difference
• Representative of the final formulation of the product to be
marketed
• From a batch of >1/10 of production scale
• In vitro characterization (such as dissolution testing and
specifications of test product critical quality attributes) should
be established for the test batch used in the BE study
13. 13
In the study report we expect…
• For the reference product • For the test product
• product name,
• strength (nominal and assayed
content),
• dosage form,
• batch number,
• expiry date (where available),
• country of
purchase
• composition
(quantitative and
qualitative),
• batch size,
• manufacturing date
15. 15
Which dose should we use?
• Highest labeled (approved) dose of reference (typically as mg/kg) for test
and reference
• To account for potential changes in relative exposure due to the presence of
saturable elimination processes
• if linear PK across the entire dose range, any approved dose may be used if a
scientific justification is provided as to why the highest dose cannot be used
• No dose normalizing for content assay differences observed unless no
reference batch which differs less than 5% from the test product can be
found (see slide 51)
• Content assay of test vs reference API must be within ±5% of label
• In crossover studies, the impact of this variation is essentially eliminated
by the within-subject comparison of the bioavailability
16. 16
Which dose should we use?
When could a higher dose (up to 3x) be acceptable? Only if:
• linear PK (across the whole range if there is a dose range)
• needed to be able to measure blood levels
• absence of saturable absorption processes (which could camouflage differences
at the approved (lower) dose)
Dose to be rounded up
• for solid oral dosage forms to the next available strength
• oral dosage forms not to be manipulated
• breaking along score lines only if data confirm content uniformity of the
halves of the split scored test and reference products
• or to the next division of the dosing equipment
When conducting a cross-over study, each subject is administered the same
mg/kg dose in periods 1 and 2.
17. 17
Dose selection if non-linear PK
In reference products with less than proportional increase in AUC with
an increase in dose (non-linear kinetics) across the therapeutic range,
the following should be considered:
• Saturable absorption processes:
• potential to be BE at highest labeled doses but not at lowest,
which may warrant testing for product BE at the lowest
labeled dose.
• Saturable in vivo dissolution due to API solubility constraints
• In this case, there may be the need to test for in vivo BE at
highest dose and at the lowest dose (or a dose in the linear
range) to account for the impact of the surface to volume
ratio of the tablets
19. 19
Route of administration
• Typically, the same route and site of administration should be
used for the test and reference products.
• Separate studies for each route of administration approved
for the reference product
21. 21
Cross over or parallel design ?
Cross over
Parallel
Enrollment Wash Out
Treatment
Test
Ref
Ref
Test
Treatment
Ref
Test
22. 22
Cross-over vs parallel design
Sequence A Sequence B
Period 1 Test Reference
Period 2 Reference Test
Test period
Group 1 Test
Group 2 Reference
• Parallel study design
• Each subject is administered only one treatment, resulting in a product BE
assessment based upon a between-individual comparison.
• Intersubject variability + intrasubject variability + random error contribute to
the uncertainty associated with the (population) prediction of mean
test/reference ratios
• Cross-over study design
• Each subject is administered both the test and reference formulations,
resulting in a product BE assessment based upon a within-individual
comparison.
• Intersubject variability does not contribute to the uncertainty associated
with the (population) predictions of mean test/reference ratios
23. 23
Preferred study design: crossover
• Classic in vivo BE study: two-period, two-sequence, two-treatment crossover
study to reduce the magnitude of residual (unexplained) study variability:
- Source of between subject differences
• drug permeability
• gastrointestinal transit time
• first pass metabolism
• drug clearance
• volume of drug distribution
• Washout interval required between periods to ensure the absence of a
physiological or pharmacological carryover effect:
• wash-out should ideally be ≥ 5x blood terminal elimination half-life
• to prevent the presence of residual drug concentratons that can bias calculation of
PK parameters (AUC, Cmax and Tmax) in subsequent periods
• if API is an endogenous substances: demonstrate that pre-dose baseline
concentrations for period 1 and 2 are comparable
24. 24
When is parallel design preferred?
• When there is the risk of a physiological carryover (e.g.,
hepatic enzyme induction) that would influence systemic
concentrations of the treatment administered in period 2.
• When the time needed to insure the absence of a
physiological and/or pharmacological carryover effect is not
feasible because:
- Wash-out time period would be extremely long, due to a
very long (terminal elimination) half-life.
- Wash-out required would cause significant physiological
changes in growing test animals
- Extended release formulations where the drug release
continues for a duration of months to years.
• When the target species has insufficient blood volume to
allow for a two-period study.
25. 25
Other alternative study designs:
Replicate study design: alternative to crossover
- When used?
• When a classic cross over design would require too many animals
• When the reference product is known to be associated with “high”
within-individual pharmacokinetic variability
• When applying reference scaled in vivo BE approach (in jurisdictions
where this is permitted)
- Using three or four periods within each group
• 3 periods = “partial replication”
• the reference OR the test is replicated in all subjects
• 4 periods = “full replication”
• each subject receives the test and reference products twice
• Specific order of treatments to be designed carefully
26. 26
Other alternative study designs:
Sequential study design
• Two step study, second phase only done when BE not yet
demonstrated with the initial number of animals in phase 1
• A priori criteria established in protocol before study
initiation
• In general, before using alternative design and
corresponding method of statistical analysis: contact
local/regional regulatory authorities!
27. 27
Single dose or multiple dose design?
• Single dose is standard
- For both immediate and modified release formulations
- More sensitive in assessing differences in release API from
formulation into systemic circulation
• Single and multiple dose studies can be performed
using either crossover or parallel designs
- Sequential or replicate designs not recommended for
multiple dose studies (as very long duration might cause
complications)
28. 28
Single dose or multiple dose design?
• When multiple dosing?
- Extended release formulation intended for repeated dosing
if there is accumulation between dosing (at least twofold
increase in concentration at steady state compared to single
dose)
• Ctrough to be investigated next to Cmax and AUC
• Ctrough may differ from Cmin if product has a lag time between
administration and absorption
- Saturable elimination processes that may lead to an under-
estimation of product exposure differences when dosed at
steady state.
- Assay not sensitive enough to allow calculation AUC after
single dose
30. 30
Subject and Species
Bioequivalence studies required in each (major) target species
• Minor species extrapolation to be justified
• Anatomy and physiology
• Properties of API and formulation
Healthy animals, randomly assigned to groups
• Representative of population
• Homogenous and equally sized, uniform groups
• Age, body weight, gender, nutrition, physiological state, sometimes also
production level
• Most pertinent in parallel study design as in cross-over animals serve as
their own control
Drug free period before first dosing,
• Preferably naive animals, but always drug free period long enough to ensure
• no detectable residues,
• no impact of potential physiological carry-over effects
Describe all in report!
• And of course in protocol before initiation of the study
32. 32
Prandial state
• For orally administered drugs
• Prandial state must be consistent with animal welfare
and the kinetics of the API
• Normally fasted, except for ruminants
• Cats & dogs
- normally fasted >8 hrs pre- and >4 hrs post-dose
- but if label of reference product says only administration in fed
state, the BE study should be performed in the fed state
• For oral modified release in non-ruminants, use both
fasted and fed conditions, unless adequately justified
• Describe and justify rationale for fasted/fed conditions in
protocol (before initiation of the study) and study report!
34. 34
Exclusion of data from analysis
• Removal of all or part of an animal’s data?
- always to be justified in report
- always before actual analysis of blood samples is done !
• If foreseeable: stipulate in protocol!
- Classic case: if vomiting expected; always specify a priori in
protocol
• Define acceptable time between administration and vomiting
• Define allowable amount of dose lost in vomitus
• Define criteria for re-dosing a priori
Use all available data in analysis
- If exclusion only happened in period 2, data from period 1 should
still be included in the analysis
• Because confidence intervals are generated on the basis of a within-
subject treatment comparison, subjects with data generated solely in
one period will not affect the final confidence intervals about the
treatment means as produced by the study statistical analysis.
36. 36
Sample size (1)
• “Minimum animal numbers” based upon estimates in pilot studies
• estimated ratio of treatment means
• within subject variability of reference product for crossover studies
• between subject variability of reference product for parallel
investigations
• risk of animals “lost” during the study (e.g. dead, injury, vomiting)
• should be justified a priori in the study protocol
• Always estimate sample size for PK parameter
• for which the greatest within (crossover study) or between (parallel
study) variability is expected.
• for which you expect the largest difference between the treatment
estimates
37. 37
Sample size (2)
• International “minimum” size of evaluable treatment group :
N≥12
- So for 2 period - 2 sequence – 2 treatment crossover:
• two groups for each sequence (A-B and B-A)
• minimal 6 animals per sequence, or in total minimum 12
animals in the study
- So for parallel design
• Only one group per treatment
• So minimal 12 animals in each group, and thus
minimum 24 animals in the study
39. 39
Blood sampling schedule
• No less than 80% of AUC0-∞ should be covered by AUC0-last
- Frequent sampling around Tmax to estimate Cmax
- make sure first sample is before Cmax
- Duration of sampling
• at least 3 samples in terminal log-linear phase, to estimate the terminal elimination
rate constant (ke) and AUC0-∞
• must cover ≥ 80% of AUC0-∞
• For immediate release dosage forms with long terminal elimination
half-life, less than 80% of AUC0-∞ could be covered if sampling
schedule covers Cmax andthe complete absorption phase
• For multiple dose studies, to allow accurate AUC assessment
- Pre-dose sample must be collected immediately before dosing and
- Last sample as close as possible to end of dosing interval
- Show that steady state conditions are reached
• For endogenous substances
- Pre-dose sample consistent with method of baseline correction
42. 42
Blood level studies: single / multiple dose
Single dose Multiple dose
• where AUCτ is the AUC estimated over a
complete dosing interval at steady state.
• In that case, steady state AUCτ = AUC0-inf
after a single dose if the absorption and
elimination processes are concentration-
independent.
43. 43
Blood Level BE Parameters
• In single dose studies
- Cmax, Tmax, AUC0-Last, and AUC0-∞ should be determined.
- terminal elimination half-life (ke ) and Tlag may be relevant
• In multiple dose studies the following should be determined
- AUCτ
- steady state Cmax values (Cmax ss),
- steady state Ctrough values (Ctrough ss)
- steady state Tmax values (Tmax ss)
• If endogenous substance: correct for baseline levels using method
defined in protocol a priori.
- Recommendation:
• Estimate pre-dose levels at the same time on 3 consecutive
days
• Substract that mean endogenous baseline from quantified
concentrations at each sampling time
• Use non-compartmental methods to determine PK parameters
- Describe methods used in report
45. 45
What is the analyte
• Parent compound (classic):
- usually Cmax parent more sensitive to difference in absorption rates
- total concentrations (sum of protein-bound and free concentrations)
• If the administered compound is a pro-drug with negligible blood
concentrations:
- test for active metabolite (formed after absorption)
- justify the metabolite measured
• If drug with enantiomers: need enantiomer (chiral)-specific analysis
IF
- enantiomers have different PK profiles AND
- the AUC ratio of the enantiomers is modified by a difference in their
respective absorption rates AND
- enantiomers have different pharmacodynamic profiles
• Possibly need for stereospecific analytical method
- if test or reference product contains chiral excipient that selectively can alter
absorption of one or both of the enantiomers
- if drug is a single enantiomer that undergoes in vivo chiral conversion
47. 47
Bioanalytical method validation
• Appropriate validation of the bioanalytical method is required (see
also other relevant VICH GLs 1 and 2)
• Report must contain following aspects of performance and
validation of the method
- Concentration range and linearity
- Matrix effects
- Limit of quantitation (LOQ, lower and higher)
- Specificity (selectivity)
- Accuracy
- Precision
- Stability of analyte and internal standard
48. 48
Bioanalytical method validation
• The following data from quality control (QC) samples obtained
during in-phase analytical runs containing incurred samples should
be provided:
- Precision
- Accuracy
• Contact regulatory authorities beforehand if there might be a need
to include incurred sample reanalysis (IRS) as a component of the
method validation
- IRS is the repeat analysis of a subset of subject samples in separate
analytical runs
50. 50
Statistical model
• The ANOVA (Analysis of Variance) takes into account sources of
variation that can have an effect on the response variables
• For crossover studies:
⁻ The statistical model typically accounts for the variation due to sequence,
animal-nested-in-sequence, period and treatment, removing intersubject
variability from the “residual error” term.
⁻ The residual error is the variation that remains undefined.
⁻ This residual error contains both intra-individual variability plus the unexplained
variability.
⁻ It is the residual error that is used in the estimation of the width of the
confidence interval
• For parallel design studies:
⁻ Treatments typically compared using a one-way ANOVA
⁻ So the residual error contains intrasubject, intersubject variability and
random error.
51. 51
Ln-Transformation
• Should be used for BE evaluation
• Distribution of AUC and Cmax is typically log-normal rather
than normal. Therefore, analysis is conducted on a log-
normal scale.
• When evaluating Ln-transformed treatment effects, treatment
comparisons are based upon the difference in Ln-transformed
treatment values. Upon back-transformation (returning
values to an arithmetic scale) of these differences
(exponentiation of differences), the comparison is then
expressed in terms of ratios (i.e., exp (Ln A – Ln B) = A/B).
52. 52
Dose normalisation
• In a crossover study, dose normalization is only considered if there
are very large differences in animal weights over the course of the
study
• In rare instances involving parallel study and when the drugs are
administered on a mg rather than on a mg/kg basis, between-
animal differences in body weight could inflate the magnitude of
the residual error to an extent that a prohibitively large increase in
subject numbers would be necessary to maintain study power.
• In such situations, discuss with the regulatory authorities the
acceptability of dose normalization and the corresponding
method of data analysis a priori during protocol development.
• In exceptional cases where a batch of reference product with an
assay content differing less than 5% from the test product cannot
be found, the data could be dose normalized.
• In such cases, the procedure for dose normalization should be
pre-specified and justified by inclusion of the results from the
assay of the test and reference products in the protocol.
53. 53
Confidence interval acceptance
criteria
• To declare two products bioequivalent (and to be internationally
acceptable), acceptance criteria for AUC and Cmax (in multiple dose studies
also Ctrough) should be 0.80 to 1.25
• So after Ln transformation and back transformation, for the parameters
considered, the upper confidence interval limit should fall below 1.25 and
the lower confidence interval limit should fall above 0.80 in order to
accept that the test and reference products are bioequivalent.
• Statistical BE evaluation is best generated using 90% confidence intervals,
i.e. the two one-sided confidence interval approach for the ratio of the
population geometric means (test/reference) for the parameters under
consideration
• Definition of confidence interval-“If an investigator repeatedly
calculates these intervals from many independent and random
samples, 90% of these intervals would correctly bracket the true
population ratio”
54. 54
Minimum content of stats report
• At a minimum, the study report should include
- the individual subject concentration versus time data for each study period
(indicating period and treatment associated with each blood level profile),
- subject allocation to sequence,
- individual parameter estimates,
- methods used for parameter estimation,
- summary statistics,
- and the statistical output (e.g., ANOVA).
• This would enable regulatory authorities to perform PK and
statistical analyses if necessary.
55. 55
Glossary 1
• Acceptance criteria (syn: confidence bounds): The upper and lower limits (boundary) of the 90%
confidence interval that is used to define product BE.
• Active pharmaceutical ingredient (API) (syn: active substance): A substance used in a finished
pharmaceutical product, intended to furnish pharmacological activity or to otherwise have direct
effects in the diagnosis, cure, mitigation, treatment or prevention of disease or to have direct effect
in restoring, correcting or modifying physiological functions of the body.
• Area under the curve (AUC): Area under the plasma drug concentration versus time curve, which
serves as a measure of drug exposure. It includes several different types of AUC estimates:
- AUC0-Last: AUC to the last blood sampling time associated with quantifiable drug concentrations. The last
quantifiable concentration (the limit of quantification, LOQ) is determined by the sensitivity of the analytical
method. The last quantifiable drug concentration may occur prior to the last blood sampling time.
- AUC0-∞: AUC0-Last with the addition of the extrapolated area from the last quantifiable drug concentration to
time infinity. The terminal area from the last quantifiable drug concentration to time infinity is estimated as
Clast/λe, where Clast is the last quantifiable drug concentration and λe is the terminal slope of the Ln
concentration-time profile.
- AUCtau (AUCτ): AUC over one steady state dosing interval. Mathematically, the quantity equals AUC0-∞ of the
first dose if there is linear (non-saturable) PK.
• Assay content: The amount of the analyte in a sample
56. 56
Glossary 2
• Bioavailability: The rate and extent to which the API or active metabolites enters the systemic circulation.
• Bioequivalence: The absence of a difference (within predefined acceptance criteria) in the bioavailability of the
API or its metabolite(s) at the site of action when administered at the same molar dose under similar conditions in
an appropriately designed study.
• Biomass: Crude products of fermentation, where the fermentation derived product is not extracted or purified;
rather the resulting fermentation mixture, including the API and fermentation broth, is dried and used as is in the
manufacture of medicated feeds or feed additives.
• Biowaiver: A waiver of the requirement to demonstrate in vivo BE between a test and reference drug product.
• Blood: Within this guidance, the terms blood, plasma, and serum are used interchangeably.
• Composition: The ingredients as well as the absolute amounts of these ingredients included in the formulation.
• Cmax: The maximum (or peak) concentration of API or its metabolite(s) in blood.
• Cmin: The minimum concentration of the API or its metabolites in the blood at steady state. In the absence of a
measurable delay between drug administration and the first appearance of drug in the systemic circulation Cmin
equals Ctrough.
• Ctrough: The concentration of API or its metabolite(s) in blood at steady state immediately prior to the
administration of a next dose.
• Dosage form (syn: pharmaceutical form): The physical form of a dose of a medication such as tablet, capsule,
paste, solution, suspension, etc.
• Drug product (syn: medicinal product): A finished dosage form that contains the API usually in association with
one or more excipients.
57. 57
Glossary 3
• Elimination rate constant (ke): The first-order rate constant describing drug elimination from the body. Although the amount of
drug eliminated in a first-order process changes proportionally with concentration, the fraction of a drug eliminated remains
constant. The elimination rate constant is, then, a fraction of a drug that is removed from the body per unit of time.
• Enantiomer: a pair of chiral isomers (stereoisomers) that are direct, nonsuperimposable mirror images of each other.
Enantiospecificity in pharmacokinetics can arise because of enantioselectivity in one or more of the processes of drug
absorption, distribution, metabolism and excretion.
• Excipient (syn: inactive ingredient): A substance other than the API that has been appropriately evaluated for safety and is
included in a drug product to either aid in its manufacturing; protect, support or enhance stability, bioavailability, or target animal
acceptability; assist in product identification; or enhance any other attribute of the overall safety and effectiveness of the drug
product during storage or use.
• Extended release formulation: A dosage form that is deliberately modified to protract the release rate of the API compared to
that observed for an immediate release dosage form. This term is synonymous with prolonged or sustained release dosage
forms.
• Finished dosage form: A dosage form of the API which is intended to be dispensed or administered to the animal and requires no
further manufacturing or processing other than packaging and labelling.
• Good Laboratory Practice (GLP): Quality standards for conducting non-clinical laboratory studies and field trials. Regional
standards/regulations are specified by each regulatory jurisdiction
• Highest labeled dose: The highest approved dose of the reference product as indicated on the label (usually defined as strength
per unit body weight, e.g., mg/kg). If there is an approved dose range, the highest labeled dose would be the highest dose in that
range.
• Linear pharmacokinetics: When the concentration of the API or its metabolite(s) in the blood increases proportionally with the
increasing dose, and the rate of elimination is proportional to the concentration, the drug is said to exhibit linear
pharmacokinetics. The clearance and volume of distribution of these drugs are dose-independent.
58. 58
Glossary 4
• Modified release formulation: Drug products where the rate and/or place of release of the API(s) is different from that of an immediate
release dosage form administered by the same route. This deliberate modification is achieved by a special formulation design and/or
manufacturing method.
• Medicated Premix: A veterinary medicinal product which has been granted marketing authorization and is intended for oral
administration following its incorporation into animal feedstuffs. The medicated premix frequently consists of the API, a carrier, and a
diluent.
• Nonlinear pharmacokinetics: As opposed to linear pharmacokinetics, the concentration of the API or metabolites in the blood does not
increase proportionally with the increasing dose. The clearance and volume of distribution of these may vary depending on the
administered dose. Nonlinearity may be associated with any component of the absorption, distribution, and/or elimination processes.
• Pharmacokinetics (PK): The study of the absorption, distribution, metabolism, and excretion of an API and/or its metabolite(s).
• Reference product: The drug product to which the in vivo BE and, in some instances, the in vitro equivalence of the test drug product is
compared.
• Replicate study design: an investigation where at least one of the treatments is repeated.
• Relative bioavailability: The bioavailability of a drug product when compared with another formulation of the same drug administered
by an extravascular route.
• Steady state (ss): The condition where the API input rate is in dynamic equilibrium with its output (elimination) rate.
• Stereoisomer: compounds differing only in the spatial arrangement of their atoms.
• Strength: The amount of API in a drug product expressed in specific unit of measurement (e.g., 10 mg/mL, 25 mg/tablet).
• Test product: The drug product used for BE comparison to the reference product.
• Tlag: The duration of time between drug administration and the appearance of the API in the systemic circulation.
• Tmax: Time to the Cmax.
• Transdermal product: A dosage form designed to be applied to intact skin for the purpose of delivering the API for absorption through
the skin and into the systemic circulation.
NOTE: Caveat : for rapidly growing animals where large weight changes are anticipated (e.g., studies conducted in rapidly growing animals where there is a risk of differences in drug absorption, distribution, metabolism, or elimination in period 1 vs 2 that could bias the within-subject comparison) the use of dose adjustments will need to be considered on a case-by-case basis.
Showing Cmax and Tmax and AUCτ in single dose or multiple dose administration