SCOPE NOTE There is a lot of overlap between the terms "precision medicine" and
"personalized medicine." According to the National Research Council,
"personalized medicine" is an older term with a meaning similar to
"precision medicine." However, there was concern that the word
"personalized" could be misinterpreted to imply that treatments and
preventions are being developed uniquely for each individual; in precision
medicine, the focus is on identifying which approaches will be effective
for which patients based on genetic, environmental, and lifestyle factors.
The Council therefore preferred the term "precision medicine" to
"personalized medicine." However, some people still use the two terms
interchangeably.
Pharmacogenomics is
a part of precision medicine. Pharmacogenomics is the study of how genes
affect a person’s response to particular drugs. This relatively new field
combines pharmacology (the science of drugs) and genomics (the study of
genes and their functions) to develop effective, safe medications and
doses that are tailored to variations in a person’s genes.
What is the difference between precision medicine and personalized
medicine? What about pharmacogenomics? Genetics Home Reference, US NLM,
2018
https://ghr.nlm.nih.gov/primer/precisionmedicine/precisionvspersonalized
Related glossaries
include
Diagnostics Biomarkers
Molecular diagnostics
Molecular Medicine
Cancer
diagnostics & therapeutics
Drug safety & pharmacovigilance
Drug targets
Informatics: Drug discovery informatics
Clinical & medical informatics
Technologies
Metabolic
engineering & profiling
Microarrays
Sequencing
Biology Expression, gene & protein Genomics
SN Ps & genetic
variations
ADME:
Abbreviation for Absorption, Distribution,
Metabolism, Excretion. See also pharmacokinetics, drug disposition. IUPAC Med
Chem Also referred to as ADME/ Tox ADME/ Toxicology or ADMET.
These key properties of
pharmaceutical compounds are tested for as part of lead optimization activities. Related terms: DMPK, pharmacokinetics, predictive ADME, toxicogenomics.
Artificial Intelligence for Genomics: Personalizing
Treatments and Cures 2019 April`17-18 Boston MA
The role of computer science in modeling cells,
analyzing and mapping data networks, and incorporating clinical and
pathological data to determine how diseases arise from mutations is
becoming more important in genomic medicine. We need to understand where
the disease starts and how artificial intelligence delivers genes and
pathways for drug targets and diagnostics. The Inaugural AI
for Genomics track
explores case studies that apply deep learning, machine learning, and
artificial intelligence to genomic medicine. We will discuss data curation
techniques, text mining approaches, and statistical analytics that utilize
deep machine learning to support AI efforts. This will help to integrate
omics approaches to discover disease or drug response pathways and
identify personalized and focused treatments and cures.
http://www.bio-itworldexpo.com/ai-genomics
chronopharmacokinetics:
Pharmacokinetic parameters are generally assumed to
be invariate with the time of day, although circadian variation of drug
metabolism and drug response is known. As proposed, chronopharmacokinetics
considers the implications of the chronovariability of pharmacokinetic
parameters. In order to investigate chronovariation in the rate of disappearance
of a substance from the approximate a linear course until very low blood levels
are attained. ... It is concluded that: 1) rhythmicity within elimination curves
can only be determined by repetition of the experiment at different times of the
diel period; 2)the expectation that a rate-constant estimated at one time of the
day may be valid for another part of the day carries with it an unknown risk. No
pharmacokinetic analysis can be considered definitive unless
chronopharmacokinetic variation of parameters is considered. FM Sturtevant,
Chronopharmacokinetics
of ethanol. I. Review of the literature and theoretical considerations,
Chronobiologia 3(3): 237- 262, Jul-Sept 1976
chronopharmacology:
The science dealing with the phenomenon of rhythmicity in living organisms is
called chronobiology. The branch dealing with the pharmacologic aspects of
chronobiology is termed chronopharmacology, which may be subdivided into
chronotherapy, chronopharmacokinetics and chronotoxicity. WA Ritschel, H Forusz,
Chronopharmacology: a review of drugs studied, Methods Find Exp Clin
Pharmacology 16(1): 57- 75, Jan-Feb 1994
Clinical Pharmacogenetics implementation Consortium One barrier to implementation
of pharmacogenetic testing in the clinic is the difficulty in translating
genetic laboratory test results into actionable prescribing decisions for
affected drugs. CPIC’s goal is
to address this barrier to clinical implementation of pharmacogenetic
tests by creating, curating, and posting freely available, peer-reviewed,
evidence-based, updatable, and detailed gene/drug clinical practice
guidelines. CPIC started as a shared
project between PharmGKB and
the Pharmacogenomics
Research Network (PGRN) in
2009. https://cpicpgx.org/
clinical
pharmacology: The branch of pharmacology
that deals directly with the effectiveness and safety of drugs in humans. MeSH,
1980
Over the past decades, the scope of clinical pharmacology within the
pharmaceutical industry has widened considerably. Key growth has been in the
area of translational science and exploratory medicine, where clinical
pharmacologists are nowadays the mediator between basic research and
establishment of clinical usefulness. This role has led to and is supported by
the rapid developments in pharmacokinetic-pharmacodynamic modeling and
simulation, a strong focus on biomarkers for early informed decision-making, and
the advent of pharmacogenomics into safety and efficacy predictions and
evaluations. The ultimate goal - safer, more efficacious drug prescription - is
shared with that of today's drive for more personalized medicine. This article
reviews the evolution of clinical pharmacology within the industry, the
regulatory, clinical and societal drivers for this evolution, and the analogy
with the establishment of personalized medicine in clinical practice. Clinical
pharmacology, biomarkers and personalized medicine: education please. Koning P,
Keirns J. Biomark Med. 2009 Dec;3(6):685-700.
http://www.ncbi.nlm.nih.gov/pubmed/20477707
computational
pharmacology:
Our ultimate goal is transforming the
process of drug design through the use of advanced computational techniques,
particularly machine learning and knowledge- based approaches applied to high
throughput molecular biology data. We create novel algorithms for the analysis
and interpretation of gene expression arrays, proteomics, metabonomics, and
combinatorial chemistry. We also create tools for building, maintaining and
applying knowledge- bases of molecular biology, and for knowledge- driven
inference from multiple biological data types. Finally, we are developing and
applying natural language processing techniques for information extraction from
and management of the biomedical literature. The UCHSC Center for Computational
Pharmacology, Univ. of Colorado Health Sciences Center, US
http://compbio.ucdenver.edu/Hunter_lab/
CRISPR for Precision Medicine
Developing Accuracy, Speed and Efficiency in
Gene Editing and Repair
MARCH 14-15, 2019 San
Francisco CA
Gene editing,
particularly using the CRISPR (Clustered Regularly Interspaced Short
Palindromic Repeats)/Cas system, has very rapidly established itself as an
important tool in drug discovery and is now being exploited for
therapeutic purposes as well. Cambridge Healthtech Institute’s Fifth
Annual CRISPR for Precision Medicine symposium will bring together
scientists and clinicians to talk about the recent progress made in gene
editing and its potential going forward. At the same time, they will also
discuss what is being done to overcome some of the inherent challenges
that exist in terms of guide RNA design, delivery and off-target effects
associated with CRISPR/Cas9, and what are some of the alternatives being
developed? Experts from pharma/biotech, academic and government labs, and
technology/service companies will share their experiences leveraging the
utility of CRISPR-based gene editing for diverse applications such as
creating cell lines and disease models for functional in
vitro, in
vivo and ex
vivo screening that will ultimately pave the way for better
and safer therapeutics. https://www.triconference.com/Gene-Editing Related terms:
Genomic Technologies CRISPR, gene
editing
cytochrome P450 enzymes:
The most important and
well- studied
group of drug- metabolizing enzymes, the cytochrome P450 enzymes (found in
the liver) are responsible for the metabolism of a large number of
pharmaceutical compounds. These enzymes function to detoxify xenobiotics
(foreign molecules in the body, including drugs). The various genetic
polymorphisms in cytochrome P450 can result in increased enzymatic
activity, decreased enzymatic activity, or complete loss of enzyme
activity. These changes can, in turn, lead to increased (or decreased)
activation of pro- drugs, or to increased (or decreased) metabolism
and excretion of drugs.
disease
resistant individuals:
Another interesting group [of phenotypes for
pharmacogenomics] includes those who have no disease yet have high risk
factors. A classic example are individuals who exposed themselves to
multiple risk factors for HIV - unprotected intercourse with multiple partners,
intravenous drug use, etc. - and who either did not get the disease, or when
they did get it, it progressed very slowly. Interestingly, a gene
target
was identified in this group - the CCRX deletions. There are many other
disease- resistant groups in medicine. ... In general, disease- resistant groups
provide a way of identifying given targets that are pre- validated in human
subjects.
DMPK:
Drug
metabolism and pharmacokinetics. Related terms: ADME
drug
metabolism:
After various consultations, the task group
recognized that a tutorial emphasis would be of much more value than just
a list of terms with definitions. Advances in ready access to high-quality
didactic technical information via the Internet continue to underscore
this revelation. The preparation of the additional accompanying tutorials
is on-going, including the reformatting of 70 terms. A submission to Pure
and Applied Chemistry is expected
during 2017. IUPAC Metabolism terms
https://iupac.org/projects/project-details/?project_nr=2000-009-1-700
Drug Metabolizing
Enzymes DME: drug response:
Includes drug dispositions (pharmacokinetics, PK) and drug effect
(pharmacodynamics, PD).
E15 terminology in Pharmacogenomics, ICH,
2008
http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm073162.pdf
Comparison of pharmacogenomics studies will be
difficult until a more standard definition of "response" and of
various phenotypes can be agreed upon.
drug response
phenotype:
SNPs are also useful in pharmacogenomics for
matching an individual’s genotype with a drug- response phenotype.
It is possible, in this context, to identify individuals who cannot adequately
metabolize the drug and must be dosed accordingly, or those with a compromised
drug target, who could not benefit from the drug.
The discovery of such a relationship will require measuring hundreds of
SNPs
in or near candidate genes
in several thousands of individuals. Validation will require detecting very few
SNPs in several hundred to several thousand individuals. These relationships can
be used either for clinical trials or diagnostically to determine therapy. Each
clinical trial will involve measuring few SNPs in the low thousands of
individuals.
drug transporters:
Potential drug–drug interactions mediated by the ATP-binding cassette
(ABC) transporter and solute carrier (SLC) transporter families are of
clinical and regulatory concern. However, the endogenous functions of
these drug transporters are not well understood …What are usually
considered to be ‘multispecific drug transporters’ come from two
transporter superfamilies: the solute carrier (SLC) transporters and the
ATP-binding cassette (ABC) transporters1.
Because they have a crucial role in absorption, distribution, metabolism
and elimination (ADME), these drug transporters are of considerable
pharmacological significance…Among the clinical issues driving this
heightened focus on drug transporters is the concern about drug–drug
interactions at the level of the transporter. Nigam SK. What do drug
transporters really do? Nature reviews Drug discovery. 2015;14(1):29-44.
doi:10.1038/nrd4461.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750486/
expression
pharmacogenomics:
Applies genome/proteome scale differential expression
technologies to both in vivo and in vitro models of drug response
to identify candidate markers correlative with and predictive of drug toxicity
and efficacy. It is anticipated to streamline drug development by triaging
towards lead compounds and clinical candidates that maximize efficacy while
minimizing safety risks. Bonnie E. Gould Rothberg "Use of animal models in
expression pharmacogenomic analysis" (Pharmacogenomics Journal 1: 48-58,
2001
http://www.nature.com/tpj/journal/v1/n1/abs/6500008a.html
Related terms: Expression,
genes & more
FDA
guidelines: Guidance for Industry, Pharmacogenomic
Data Submissions CDER, CBER, CDRH, FDA, March 2005 Non-binding recommendations.
http://www.fda.gov/cber/gdlns/pharmdtasub.pdf
check for updates
flip
flop pharmacokinetics:
a phenomenon often encountered with
extravascularly administered drugs…. Flip-flop occurs when the rate of
absorption is slower than the rate of elimination. If it is not recognized, it
can create difficulties in the acquisition and interpretation of pharmacokinetic
parameters. Flip-flop
pharmacokinetics--delivering a reversal of disposition: challenges and
opportunities during drug development. Yanez JA, Remsberg CM, Sayre CL, Forrest
ML, Davies NM
Ther
Deliv 2011 May;2(5):643-72.
http://www.ncbi.nlm.nih.gov/pubmed/21837267
Broader term: pharmacokinetics
genomic data:
PGx [pharmacogenomics] and PGt [pharmacogenetics]
research depends on the use of samples to generate data. A harmonised definition
for the coding of these samples and their associated data will facilitate use in
research and development of new medicines. E15 terminology in Pharmacogenomics,
ICH, 2008
E15 Definitions for Genomic Biomarkers,
Pharmacogenomics ... - FDA
https://www.fda.gov/downloads/drugs/.../guidances/ucm073162.pdf
genomic
data samples coding:
There are four general categories
of coding: identified, coded, anonymised and anonymous. Coded data or samples
can be single or double coded. The implications of using a specific data and sample coding
category should be considered in the design of PGx [pharmacogenomics] and PGt
[pharmacogenetic] research studies. E15 terminology in Pharmacogenomics, ICH,
2008
http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm073162.pdf
genotype-to-phenotype:
Investigators start with a set of genes that are
known (or strongly suspected) to be important in modulating the response to
drugs, and search for variation in their sequences (that is, their genotype.)
Given an understanding of
genetic
variations, they then search for the phenotype consequences.
Russ Altman "Challenges for Biomedical Informatics and Pharmacogenomics,
Stanford Medical Informatics,
Annual Review of Pharmacology &
Toxicology 2002 April
https://www.annualreviews.org/doi/abs/10.1146/annurev.pharmtox.42.082401.140850?journalCode=pharmtox
Compare phenotype-to-genotype
immunophenotyping:
The recording of observable immunological
characteristics of an individual, which result from interaction between the
genes of that individual and the environment. [NASA's Neurolab
glossary, 1997 Wikipedia
http://en.wikipedia.org/wiki/Immunophenotyping
in silico
pharmacology:
Bioinformatics is used in drug target identification and
validation and in the development of biomarkers and toxicogenomic and
pharmacogenomic tools to maximize the therapeutic benefit of drugs. Now that the
'parts list' of cellular signalling pathways is available, integrated
computational and experimental programmes are being developed, with the goal of
enabling in silico pharmacology by linking the genome, transcriptome and
proteome to cellular pathophysiology. PA Whittaker, What is the relevance of
bioinformatics to pharmacology?
Trends
in Pharmacological Sciences. 24 (8): 434- 439, August 2003.
See also under
computational
pharmacology
individualized
medicine: Another term for pharmacogenomics or
precision medicine.. One key issue
for pharmacogenomics is just how individualized drug therapies are going to
become. There is fundamental tension between the economics of faster and
cheaper medical care and customized prescriptions and therapies.
Haplotypes
offer hope, as does the tradeoffs between liability for patients likely to
encounter adverse events who can be screened out before they take a drug and the
prospect of overly fragmented pharmaceutical segments.
influence-based data mining:
See Algorithms
& data management
for relevance of this technique to pharmacogenomics
data.
integrative and
organ systems pharmacology: Bioinformatics and genomic
approaches are suggesting new targets for study. Hypotheses generated by
in vitro studies or by computational biology and systems approaches to the
integrative behavior of living systems need to be tested in the actual living
organism. The ability to develop genetically modified organisms has
outstripped the ability to characterize the phenotypic changes in these
organisms. Interest is growing in behavioral and neurobiological phenomena
that can only be studied in relatively intact systems and living organisms.
Discoveries in the areas of chemistry, genomics, and pharmacogenetics have
accelerated the rate of research and have increased the demand for integrative
and organ systems pharmacologists in the pharmaceutical industry.
Pharmacologists, experienced with in vivo models, form an integral part
of every drug discovery and development project and are essential to assuring
that only safe and efficacious lead compounds go forward to clinical trials.
New tools, such as microdialysis and imaging methods, have become available that
enhance the collection efficiency and value of pharmacological data obtained
in vivo. NIGMS, SHORT COURSE: INTEGRATIVE AND ORGAN SYSTEMS
PHARMACOLOGY, Apr 26, 2004, RFA-GM-05-006
http://grants.nih.gov/grants/guide/rfa-files/RFA-GM-05-006.html
See also systems pharmacology
kinetic outliers: Intersubject variability - in particular, the
presence of kinetic outliers - is encountered during the course of a drug
development program. Often, these outliers can be explained by genetic
variability or polymorphism in cytochrome CYP450 genes responsible for drug
metabolism. Genetic analysis of outliers could help explain the variability in
metabolism and possibly influence the development and labeling of the drug in
question. Related term: pharmacokinetics
LD 50:
The dose of a substance that will kill half (50%) of the
treated test animals when given as a single dose. A measure of acute
toxicity. Chemical Hygiene Glossary of Terms, Environment, Health & Safety
Lab, Lawrence Berkeley National Laboratory, US
mechanism of action:
In pharmacology,
the term mechanism of action (MOA)
refers to the specific biochemical interaction through
which a drug substance
produces its pharmacological effect.[1] A
mechanism of action usually includes mention of the specific molecular
targets to which the drug binds, such as an enzyme or receptor.[2] Receptor
sites have specific affinities for drugs based on the chemical structure
of the drug, as well as the specific action that occurs there. Drugs that
do not bind to receptors produce their corresponding therapeutic effect by
simply interacting with chemical or physical properties in the body.
Wikipedia accessed 2018 Sept 3
https://en.wikipedia.org/wiki/Mechanism_of_action
Narrower term: molecular mechanism of action
median effective dose:
The dose of a drug predicted (by statistical
techniques) to produce a characteristic effect in 50 percent of the subjects to
whom the dose is given. The median effective dose (usually abbreviated ED50) is
found by interpolation from a dose- effect curve. The ED50 is the most
frequently used standardized dose by means of which the potencies of drugs are
compared. Although one can determine the dose of drug predicted to be effective
in one percent (ED1) or 99 percent (ED99) of a population, the ED50 can be
determined more precisely than other similar values. An ED50 can be determined
only from data involving all or none (quantal) response; for quantal response
data, values for ED0 and ED100 cannot be determined. In analogy to the median
effective dose, the pharmacologist speaks of a median lethal dose (LD50),
a median anesthetic dose(AD50), a median convulsive dose (CD50), etc. [Edward W.
Pelikan, Glossary of terms and symbols used in pharmacology, Boston University Medical
School, US, 1993- 1998
metabonomics/metabolomics:
In the context of toxicology, this approach
involves evaluating tissues and biological fluids for changes in metabolite
levels that result from toxicant exposure. In one early manifestation, proton
nuclear
magnetic resonance (NMR) studies can produce signal patterns
representing metabolite mixtures; these patterns can be correlated with
toxicant mechanism or identity of affected organs. CHI report Toxicogenomics: The Promise of Safer, Smarter Drug Development,
2002 See also -Omes & -omics
metabolomics,
metabonomics
Microbiome-Based Precision Medicine
Using the Microbiome as a Tool for Generating Personalized
Diagnostics and Therapeutics to Improve Health and Disease
MARCH 14-15, 2019 San Francisco CA
The microbiome R&D is an
area of science that is continuing to prove its importance. A PubMed
search on the term “human microbiome” yielded 300 citations in 2003, 4,498
citations in 2013, and 38,318 citations in 2018. Basic and applied
biomedical research from the Human Microbiome Project and other
independent studies prove that a disruption of a stable microbiome
ecosystem results in dysbiosis. This imbalance leads to chronic disease
and health conditions like inflammation, metabolic disorders, gut
disorders, obesity, type 2 diabetes, autoimmune disorders, inflammatory
bowel disease, neurodevelopmental disorders and more. There is great
promise in correlating the microbiome compositions with these diseases and
using the microbiome as a tool for therapeutic, diagnostic and product
development.
https://www.triconference.com/Microbiome
See related
Molecular Medicine Human
Microbiome -Omes microbiome
mode of action MOA:
A mode
of action (MoA)
describes a functional or anatomical change, at the cellular level, resulting
from the exposure of a living organism to a substance. In comparison, a mechanism
of action (MOA)
describes such changes at the molecular level.[1][2]
A mode of action is important in
classifying chemicals as it represents an intermediate level of complexity in
between molecular mechanisms and physiological outcomes, especially when the
exact molecular target has not yet been elucidated or is subject to debate. A
mechanism of action of a chemical could be "binding to DNA" while its broader
mode of action would be "transcriptional regulation".[3] However,
there is no clear consensus and the term mode of action is also often used,
especially in the study of pesticides, to describe molecular mechanisms such as
action on specific nuclear receptors or enzymes.[4]Wikipedia
accessed 2018 Sept 3
https://en.wikipedia.org/wiki/Mode_of_action
The process governing the action of chemicals without
the level of detail required to determine mechanism of action.
molecular
mechanisms of action:
Activities at the molecular level of exogenous
compounds affecting normal biochemical pathways, including the actions of PROTEINS;
CELL
SURFACE RECEPTORS; NEUROTRANSMITTERS;
and inhibitors. MeSH 2004 See also mechanism
of action
molecular
pharmacology:
original applications of biochemistry, biophysics, genetics, and molecular
biology juxtaposed with innovative pharmacologic research to elucidate basic
problems in pharmacology and toxicology, including areas such as molecular
mechanisms involved in drug receptor-effective coupling, xenobiotic metabolism,
and antibiotic and
anticancer drug action. Molecular
Pharmacology journal description
http://highwire.stanford.edu/cgi/journalinfo?qNum=all&journal_set=molpharm&sendit=Submit
Related term:
systems pharmacology
molecular
phenotyping: The
Molecular Phenotyping core provides instrumentation, training, and services for in
vitro cell
phenotyping. Specifically, we provide facilities and training for
automated nucleic acids purification, microarray analysis, quantitative PCR, and
automated immunofluorescence cell marker analysis and screening.
Maine Medical Center Core Facilities Molecular Phenotyping
http://www.mmcri.org/home/webSubContent.php?list=webcontentlive&id=133&catID=3&subCatID=14
network
pharmacology:
The dominant paradigm in
drug discovery is the concept of designing maximally selective ligands to act on
individual drug targets. However, many effective drugs act via modulation of
multiple proteins rather than single targets. Advances in systems biology are
revealing a phenotypic robustness and a network structure that strongly suggests
that exquisitely selective compounds, compared with multitarget drugs, may
exhibit lower than desired clinical efficacy... However, the rational design of
polypharmacology faces considerable challenges in the need for new methods to
validate target combinations and optimize multiple structure-activity
relationships while maintaining drug-like properties. Advances in these areas
are creating the foundation of the next paradigm in drug discovery: network
pharmacology.
Network
pharmacology: the next paradigm in drug discovery, AL Hopkins, Nature
Chemical Biology 2008 Nov; 4(11): 682- 690.
personalized
medicine:
refers to the tailoring of medical treatment to the individual characteristics
of each patient. It does not literally mean the creation of drugs or medical
devices that are unique to a patient but rather the ability to classify
individuals into subpopulations that differ in their susceptibility to a
particular disease or their response to a specific treatment. Preventive or
therapeutic interventions can then be concentrated on those who will benefit,
sparing expense and side effects for those who will not. –President’s
Council of Advisors on Science and Technology (PCAST) September 2008 quoted
in The
Case for Personalized Medicine
Beth Israel Deaconess
Medical Center, Dept of Pathology, Genomic Medicine Initiative
http://genomicmedicineinitiative.org/
Companion
Diagnostics and Other Aspects of Personalized Medicine Focus of this report is the use of
personalized medicine for pharmacological/diagnostic combinations; particularly
pharmacological therapies and the diagnostic tests, which can provide
information on the likelihood of a patient to respond to specific treatments.
Historically, drugs have been developed on a “one-size-fits-all”
basis, but due to patients responding differently to the same drug and having
potentially life-threatening side effects, new therapies have been developed for
approaching the treatment of diseases. Such an approach is with personalized
medicine.
Personalized medicine is an
all-encompassing term for focused treatments in diseases. While in some areas,
personalized medicine may focus on an individual’s genome in response to
therapy, in others it may be broader and focus on tailoring a medical treatment
to the characteristics of each patient.
With personalized medicine
becoming a more effective form of treatment, more diagnostic tests are being
developed to use in combination with pharmacology. Using this form of treatment,
physicians not only target the proper disease with the proper therapy, but
patients are also less likely to develop adverse reactions and life-threatening
side effects. Main concepts of
personalized medicine
include Various definitions of personalized
medicine, Range of disease applications for personalized medicine, Use of
personalized medicine in research and development, Technologies used in
personalized medicine testing Insight Pharma Reports
Companion Diagnostics and Other Aspects of
Personalized Medicine – Overview, 2013
http://www.insightpharmareports.com/reports_report.aspx?id=126037&r=11690
NIH research is working hard to solve
the puzzle of how genes and lifestyle connect to affect our lives and our
health. Today, researchers can scan and compare entire genomes very quickly.
These studies have already turned up disease “signatures” for type 2 diabetes,
heart disorders, prostate cancer, Crohn’s disease, Parkinson’s disease, and
age-related macular degeneration. More disease-related gene variants are
identified every few months. The Human Genome Project and thousands of
follow-on studies are helping scientists to develop gene-targeted treatments.
NIH Personalized Medicine
http://www.nih.gov/about/discovery/technology/personalmed.htm
Related
terms: individualized medicine, pharmacogenomics , precision
medicine
pharmacodynamics:
Study of the biochemical and physiological
processes determining the effects of drugs on organisms. Narrower terms:
pharmacokinetics;
pharmacodynamic biomarkers, translational pharmacodynamics
Related terms: ADME, mechanism of action, mode of action
pharmacoepigenomics:
MGMT hypermethylation demonstrates the possibility of pharmacoepigenomics:
methylated tumors are more sensitive to the killing effects of alkylating drugs
used in chemotherapy. M Esteller, JG Herman,
Generating
mutations but providing chemosensitivity: the role of O6-methylguanine DNA
methyltransferase in human cancer, Oncogene 23(1): 1-8, Jan 8, 2004
Not to confuse the semantics even more ...some
scientists have begun speculating on whether epigenetic mechanisms might
also contribute to drug response, leading to coinage of the terms
pharmacoepigenetics and pharmacoepigenomics.
IPR pharmnacogenomics promise
Insight
Pharma Reports, Pharmacogenomics: Delivering on the Promise, 2009
http://www.insightpharmareports.com/reports_report.aspx?r=6826&id=92452
Epigenomics,
official journal of the DNA Methylation Society, Moshe Szyf, editor
http://www.landesbioscience.com/journals/epigenetics/callforpapers.php
pharmacogenetic
test: An assay intended to study
interindividual variations in DNA sequence related to drug absorption and disposition
(pharmacokinetics) or drug action (pharmacodynamics) including polymorphic
variation in the genes that encode the functions of transporters, metabolizing
enzymes, receptors, and other proteins. Guidance for Industry, Pharmacogenomic
Data Submissions CDER, CBER, CDRH, FDA, March 2005 Non-binding
recommendations.
http://www.fda.gov/cber/gdlns/pharmdtasub.pdf Pharmacogenetic
tests and genetic tests for inheritable markers: Guidance for Industry and FDA Staff, CDER, FDA, 2007
http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm077862.htm
pharmacogenetics: A
subset of pharmacogenomics and is defined as The influence of variations in DNA
sequence on drug response. ... does not include other disciplines such as
proteomics and metabonomics. E15 terminology in Pharmacogenomics, ICH,
2008
http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm073162.pdf
A subset of pharmacogenomics encompassing the
study of genetic variation underlying differential response to drugs, particularly
genes involved in drug metabolism.
With the implementation of
pharmacogenetics, diseases will be evaluated by mechanisms, rather than just
symptoms, and early response will be based on prognosis and susceptibility
rather than just diagnosis. It will introduce a bottom- up approach to disease,
which will be defined in terms of its heterogeneity, and not "averaged
out" to conform to a uniform model. See also
pharmacogenomics
pharmacogenetics and pharmacogenomics:
Pharmacogenetics and pharmacogenomics are frequently interchanged terms
and can therefore be confused. For the purpose of clarity in the use of
the terms in this review, pharmacogenetics is defined as the study of
variability in drug responses attributed to hereditary factors in
different populations. Pharmacogenomics is the determination and analysis
of the genome (DNA) and its products (RNA and proteins) as they relate to
drug response. For example, gene expression profiling using various
microarray technologies has enabled the demonstration of distinct sub-sets
of genes that may be expressed differentially in disease and healthy
tissues. These genomic techniques can be useful for differential diagnosis
of patients, particularly for heterogeneous diseases that present with
similar clinical phenotypes but differ in molecular expression. Response
to treatment can sometimes be recognized at the genomic level by tissue
gene expression profiles. Expression profiles, however, differ from the
approach of using inherited differences in our genetic information to
predict responses to medicines, pharmacogenetics.
Allen D. Roses; Pharmacogenetics, Human
Molecular Genetics,
Volume 10, Issue 20, 1 October 2001, Pages 2261–2267, https://doi.org/10.1093/hmg/10.20.2261
https://academic.oup.com/hmg/article/10/20/2261/559355 Pharmacogenetics
has been defined as the study of variability in drug response due to
heredity [1].
More recently, with the fashion for adding the suffix ‘… omics’ to areas
of research, the term ‘pharmacogenomics’ has been introduced. While the
former term is largely used in relation to genes determining drug
metabolism, the latter is a broader based term that encompasses all genes
in the genome that may determine drug response [2].
The distinction however, is arbitrary and both terms can be used
interchangeably. Pirmohamed M. Pharmacogenetics and
pharmacogenomics. British Journal of Clinical Pharmacology.
2001;52(4):345-347. doi:10.1046/j.0306-5251.2001.01498.x.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2014592/
pharmacogenomic
test:
An assay intended to study
interindividual variations in whole genome or candidate gene, single nucleotide
polymorphism SNP maps, haplotype markers, or alterations in gene expression or
inactivation that may be correlated with pharmacological function and
therapeutic response, In some cases the pattern or profile of change is
the relevant biomarker, rather than changes in individual markers.
Guidance for Industry, Pharmacogenomic Data Submissions CDER, CBER, CDRH,
FDA, March 2005 Non-binding recommendations.
http://www.fda.gov/cber/gdlns/pharmdtasub.pdf
pharmacogenomics:
Comprises the study of variations in targets or target
pathways, variation in metabolizing enzymes (pharmacogenetics) or, in the
case of infectious organisms, genetic variations in the pathogen. CHI Drug
Discovery Map
http://www.healthtech.com/drugdiscoverymap.asp
For the purposes of
this guidance, the term pharmacogenomics is defined as the use of a
pharmacogenomic or pharmacogenetic test (see glossary for definitions) in
conjunction with drug therapy. Pharmacogenomics does not include the use of
genetic or genomic techniques for the purposes of biological product
characterization or quality control (e.g. cell bank characterization,
bioassays). The FDA plans to provide guidance on those uses at a future time.
Pharmacogenomics also does not refer to data resulting from proteomic or
metabolomic techniques. This document is not meant to provide guidance on
pharmacoproteomics or multiplexed protein analyte based technologies. Guidance for Industry, Pharmacogenomic
Data Submissions CDER, CBER, CDRH, FDA, March 2005
Non-binding recommendations.
http://www.fda.gov/cber/gdlns/pharmdtasub.pdf
The investigation of variations of DNA and RNA
characteristics as related to drug response. ... does not include other
disciplines such as proteomics and metabonomics. E15 terminology in
Pharmacogenomics, ICH, 2008
http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm073162.pdf
explores the pharmacogenomic (PGx) realm of personalized medicine,
analyzing current R&D and market trends related to the use of genetic
information to predict how well patients will respond to certain drugs.
Pharmacogenomics is an extremely difficult business, one for which there
are no easy answers. Even companies manufacturing and marketing already
successful pharmacogenomic drug-test combinations continue to face
difficulties. Not the least of the challenges facing pharmacogenomics is
scientific. Separating a consistent, predictive association between a SNP
or other genetic marker and a drug response phenotype from all the other
variables that play into drug response can be next to impossible. Once
candidate associations are identified, knowing how to design clinical
trials capable of teasing out these associations in the clinic and
aligning those trials in preparation for regulatory review create another
set of challenges. Insight
Pharma Reports, Pharmacogenomics: Delivering on the Promise, 2009
http://www.insightpharmareports.com/reports_report.aspx?r=6826&id=92452
Can be construed as the
study of the entire complement of pharmacologically relevant genes, how they
manifest their variations, how these variations interact to produce phenotypes,
and how these phenotypes affect drug response. A key element of pharmacogenomics
is, not surprisingly, the large- scale and high throughput collection of data,
including DNA sequence variations, mRNA expression analysis, enzyme kinetic
assays, and cellular localization experiments. Russ Altman "Challenges for
Biomedical Informatics and Pharmacogenomics, Annual Review of Pharmacology &
Toxicology 2002
https://www.annualreviews.org/doi/abs/10.1146/annurev.pharmtox.42.082401.140850?journalCode=pharmtox
Pharmacogenomics history of term As
explained by de Leon (2009)5
and others, the term pharmacogenetics was reportedly coined in 195910
and was used for many years in reference to genetic differences in
pharmacokinetic factors, particularly metabolic enzymes. This history may
have something to do with how the FDA continues to define
pharmacogenetics, although this is just speculation. Not until the 1990s
did the term pharmacogenomics enter the scientific literature.
Before then, most research on genetic difference (not just in drug
response but with respect to most phenotypes) was limited to differences
in DNA sequence. Not until genome-wide technologies emerge and advance did
research on the underlying genetic differences in drug response begin to
really expand beyond focusing on DNA sequence variation. Even then and
now, most of the focus is still on specific DNA sequences, although
genome-wide technologies are often used as a first step toward identifying
those sequences.
Insight
Pharma Reports, Pharmacogenomics: Delivering on the Promise, 2009
http://www.insightpharmareports.com/reports_report.aspx?r=6826&id=92452
Despite
their slightly different definitions, as with other "-genetics" and
"-genomics" terms, pharmacogenomics (PGt) and pharmacogenomics (PGx) are
often used interchangeably. This is not surprising since both terms
refer to the study or use of genetic variation in drug responses. PGx is
also often used as the more all-encompassing, or default, term when
referring to the general study or use of genetic variation in drug
response. ... There really isn't clear consensus (yet) on the best
definitions for each term
From pharmacology + genomics.
Narrower term:
pharmacogenetics
Related terms: individualized medicine, personalized medicine;
Gene definitions
Proteomics pharmacoproteomics
What is pharmacogenomics?, National Institute of General Medical
Sciences, NIH
https://www.nigms.nih.gov/education/Pages/factsheet-pharmacogenomics.aspx
Pharmacogenomics (PGx): is defined as:
The study of variations of DNA and RNA characteristics as related to drug
response. b. Pharmacogenetics (2.2.1.2) Pharmacogenetics (PGt) is a
subset of pharmacogenomics (PGx) and is defined as: The study of variations in DNA sequence as related to drug response.
E15
PDF] E15
Definitions for Genomic Biomarkers, Pharmacogenomics ... - FDA
https://www.fda.gov/downloads/drugs/.../guidances/ucm073162.pdf
Pharmacogenomics
Research Network:
The
Pharmacogenomics Research Network, PGRN I–III was funded from 2000 through 2015
by multiple Institutes and Centers of the NIH. The network catalyzed
pharmacogenomics discoveries both nationally and internationally through the
conduct of collaborative research focused on the discovery and translation of
the genetic determinants of drug response, in order to enable safer and more
effective drug therapies. A
new PGRN, PGRN IV, established July 1, 2015, represents a continuation of these
research activities, however in a new model. This new model invites
participation of all investigators with an interest in pharmacogenomics research
to be part of the new network.
http://www.pgrn.org/
pharmacokinetic-
pharmacodynamic relationship:
Quantitative
relationship between blood and tissue concentrations of the drug
(pharmacokinetics) and the effects (pharmacodynamics) of a drug. J. Kirchheiner
et. al, Pharmacogenetics- based therapeutic recommendations - ready for clinical
practice? Nature Reviews Drug Discovery, 4 (8): 639- 647, August 2005
pharmacokinetics:
Process of the uptake of drugs by the body,
the biotransformation they undergo, the distribution of the drugs and their
metabolites in the tissues, and the elimination of the drugs and their
metabolites from the body. Both the amounts and the concentrations of the
drugs and their metabolism are studied. The term has essentially the same
meaning as toxicokinetics but the latter term should be restricted to the
study of substances other than drugs. IUPAC Compendium
Dynamic and kinetic mechanisms of exogenous chemical and drug absorption, biotransformation, distribution, release, transport, uptake, and elimination as a function of dosage, and extent and rate of metabolic processes. It includes
toxicokinetics, the pharmacokinetic mechanism of the toxic effects of a
substance. MeSH, 1988 Broader terms: DMPK, pharmacodynamics; Narrower terms:
chronopharmacokinetics, flip flop pharmacokinetics, kinetic outliers,
pharmacokinetic pharmacodynamic relationship
pharmacological
promiscuity:
The term 'pharmacological
promiscuity' describes the activity of a single compound against multiple
targets. When undesired, promiscuity is a major safety concern that needs to be
detected as early as possible in the drug discovery process. The analysis of
large datasets reveals that the majority of promiscuous compounds are
characterized by recognizable molecular properties and structural motifs, the
most important one being a basic center with a pK(a)(B)>6. These compounds
interact with a small set of targets such as aminergic GPCRs; some of these
targets attract surprisingly high hit rates.
Can we discover pharmacological promiscuity early in the drug discovery
process? Peters HU, et al
Drug
Discov Today. 2012 Apr;17(7-8):325-35. Epub 2012 Jan 16.
http://www.ncbi.nlm.nih.gov/pubmed/22269136
pharmacology:
The study of the origin, nature, properties, and actions
of drugs and their effects on living organisms. MeSH, 1980
Used with drugs and
exogenously administered chemical substances for their effects on living tissues
and organisms. It includes acceleration and inhibition of physiological and
biochemical processes and other pharmacologic mechanisms of action. MeSH
subheading, 1988 Narrower terms:
Computational pharmacology, in silico pharmacology,
pharmacometabonomics: Pharmaco-metabonomics
is defined in the paper as 'the prediction of the outcome (for example,
efficacy or toxicity) of a drug or xenobiotic intervention in an individual
based on a mathematical model of pre-intervention metabolite signatures'.
PHG Foundation, Pharmaco-metabonomics & personalized drug treatment, 2006
See also Metabolic
engineering & profiling metabonomics
http://www.phgfoundation.org/news/2480/
pharmacophylogenomics:
This study applied the concept of
pharmacophylogenomics, the study of genes, evolution, and drug targets, , to
conduct an evolutionary survey of drug targets with respect to their subcellular
localizations. Evolutionary survey of druggable protein targets with
respect to their subcellular localizations Xiaotong Wang Genome Biology and
Evolution Advance Access published June 7, 2013 doi:10.1093/gbe/evt09
http://gbe.oxfordjournals.org/content/early/2013/06/07/gbe.evt092.full.pdf
David B. Searls,
Pharmacophylogenomics,
Genes, Evolution and Drug Targets, Nature
Reviews Drug Discovery 2 ; doi:10.1038/nrd1152, 2003
https://www.nature.com/articles/nrd1152 pharmacoproteomics:
Once you have
identified a number of proteins secreted in sera or urine, you can segregate the
proteins by which are linked to early disease, the onset of metastasis, who does
and does not tolerate treatment, toxic effects, and who is prone to resistance
or relapse. Fundamentally, you establish a pharmacoproteomic profile of an individual. Like
pharmacogenomics, which allows researchers and clinicians to predict the
response of an individual to drug treatment on the basis of his or her genetic
profile, the evolving field of pharmacoproteomics allows drug developers and
clinicians to further subdivide the treated population. Randall C. Willis,
":The Matching Game" Modern Drug Discovery, 5(5): 26-35, May 2002
http://pubs.acs.org/subscribe/journals/mdd/v05/i05/html/05willis.html
Use of protein expression data to predict
toxicity and understand drug mode of action.
phenotype standards:
The characterization of phenotype is important
for both the genotype- to- phenotype methods as well as the phenotype
- to- genotype methods. Phenotype is difficult to precisely define,
but can be thought of as functional
features of gene products, ranging in
detail from molecular to the individual and population levels. Unfortunately,
phenotype data is not as "digital" as sequence data, and so it is much
more difficult to represent. Nevertheless the success of pharmacogenomics
depends on the establishment of standards for describing these data. Russ Altman "Challenges for Biomedical Informatics and Pharmacogenomics,
Stanford Medical Informatics, c.2001 http://bmir.stanford.edu/file_asset/index.php/91/BMIR-2001-0898.pdf
phenotype-to-genotype:
Phenotype-
to- genotype approaches take a different approach to pharmacogenomic discovery.
Instead of identifying a family of
genes in which to characterize
genetic variations, investigators search for a phenotypic measure that shows significant
variation. This measure can be a clinical measure (such as the rate of
clearance of a drug or the peak level of the drug for a given dose), a cellular
measure (the rate of cellular uptake of a drug or the profile of gene
expression) or a molecular
measure (the enzymatic turnover rate of an enzyme or a substrate binding
constant). Russ Altman "Challenges for Biomedical Informatics and
Pharmacogenetics, Annual Review of Pharmacology & Toxicology 2002 April
https://www.annualreviews.org/doi/abs/10.1146/annurev.pharmtox.42.082401.140850?journalCode=pharmtox
Compare genotype- to- phenotype
physiologically
based pharmacodynamics:
Physiologically based modelling of pharmacodynamics/toxicodynamics
requires an a priori knowledge on the
underlying mechanisms causing toxicity or causing the disease. In the context of
cancer, the objective of the expert meeting was to discuss the molecular
understanding of the disease, modelling approaches used so far to describe the
process, preclinical models of cancer treatment and to evaluate modelling
approaches developed based on improved knowledge.
Modelling
the genesis and treatment of cancer: the potential role of physiologically based
pharmacodynamics. Steimer JL et. al
Eur J Cancer. 2010 Jan;46(1):21-32.
http://www.ncbi.nlm.nih.gov/pubmed/19954965
polypharmacology:
Drug molecules often interact with multiple targets, coined as polypharmacology,
and the unintended drug-target interactions could cause side-effects.
Polypharmacology remains to be one of the major challenges in drug development,
and it opens novel avenues to rationally design next generation of more
effective but less toxic therapeutic agents.
Polypharmacology: drug discovery for the future
A. Srinivas Reddy and Shuxing
Zhang
Expert Rev Clin Pharmacol. Author
manuscript; available in PMC 2014 Jan 1. Published in final edited form as:
Expert Rev Clin Pharmacol. 2013 Jan; 6(1):
10.1586/ecp.12.74. doi: 10.1586/ecp.12.74
PMCID: PMC3809828
NIHMSID: NIHMS513387 PMID: 23272792
"dirty
drugs" "drug promiscuity" How many drug targets are there?, John
P Overington, et. al, Nature Reviews Drug Discovery, 2006
http://www.nature.com/nrd/journal/v5
precision diagnostics:
Data volumes from pathology far
surpass those from radiology, and 70% of critical medical decisions are
based on lab tests, he [Mark Boguski] said. Diagnostic data live in the
laboratory information management system (LIMS), not the electronic health
record, Boguski argued. But our current diagnostic workhorses—microscopes,
dyes used to stain samples, x-ray machines—haven’t changed much since the
19th century. “They aren’t even FDA-approved!” Boguski said. To
further the problem, he argued, doctors aren’t trained to properly order
and use lab tests. There are redundant tests, inappropriate tests, or
results that are misunderstood and misused. The result is real patient
harm. #BioIT18: Mark Boguski On Precision Diagnostics And The Launch Of A
Population Health Project In Thailand, May 22 2018
http://www.bio-itworld.com/2018/05/22/bioit18-mark-boguski-on-precision-diagnostics-and-the-launch-of-a-population-health-project-in-thailand.aspx
precision medicine: According to the Precision Medicine
Initiative, precision medicine is "an emerging approach for disease
treatment and prevention that takes into account individual variability in
genes, environment, and lifestyle for each person." This approach will
allow doctors and researchers to predict more accurately which treatment
and prevention strategies for a particular disease will work in which
groups of people. It is in contrast to a one-size-fits-all approach, in
which disease treatment and prevention strategies are developed for the
average person, with less consideration for the differences between
individuals.
Although the term "precision medicine" is relatively new, the concept has
been a part of healthcare for many years. For example, a person who needs
a blood transfusion is not given blood from a randomly selected donor;
instead, the donor’s blood type is matched to the recipient to reduce the
risk of complications. Although examples can be found in several areas of
medicine, the role of precision medicine in day-to-day healthcare is
relatively limited. Researchers hope that this approach will expand to
many areas of health and healthcare in coming years. US National Library
of Medicine, Genetics Home Reference, Genomics &* Health Impact blog, What
is Precision medicine?
https://ghr.nlm.nih.gov/primer/precisionmedicine/definition
US Centers for Disease Control Precision
Medicine
https://blogs.cdc.gov/genomics/category/precision-medicine/
Towards Precision Medicine
Building a Knowledge
Network for Biomedical Research and a New Taxonomy of Disease,
National Academies Press, 2011 https://www.nap.edu/catalog/13284/toward-precision-medicine-building-a-knowledge-network-for-biomedical-research
free PDF
Precision Medicine Toward a Network-based Approach
MARCH 11-13, 2019 San Francisco CA
Precision medicine continues to progress immensely in the last decade with
flourishing discoveries in clinical genetics and genetic epidemiology.
These successes have enabled the identification of therapeutic strategies
more accurately for patients than ever. Our 4th Annual Precision Medicine
program will once again bring together experts in the field to share their
knowledge and approaches in moving precision medicine toward routine
practice. We will showcase cutting edge technologies and workflow on how
to implement precision medicine in different settings along with the
adoption of bioinformatics and clinical decision support tools for
precision medicine. http://www.giiconference.com/chi653340/precision-medicine.shtml
predictive pharmacogenomics:
Various approaches, including pharmacogenomics, that make up the emerging field of predictive medicine. These approaches allow clinicians to predict the risk of disease based on genetic testing, whether a particular therapy will be effective in a particular patient, the risk of an adverse effect, and the risk that a disease will progress in a particular manner.
The technologies underlying these new approaches will change
drug discovery and
development, clinical trials, and diagnosis and treatment of disease.
quantitative
pharmacology:
leverages model-based approaches, operates at both cultural
and technical levels to integrate data and scientific disciplines so as to
utilize existing knowledge while concomitantly enhancing the ability to make
predictions about future experiments and results. Next-generation
model-based drug discovery and development: quantitative and systems
pharmacology. SR Allerheilgen, Clin Pharmacol Ther 2010 Jul ;88 (1): 135-137.
Epub 2010 Jun 9.
http://www.ncbi.nlm.nih.gov/pubmed/20531467
quantitative systems pharmacology:
"in the middle of October,
Harvard Medical School (HMS) announced a broad initiative in systems
pharmacology and NIH released a like-minded white paper, Quantitative
and Systems Pharmacology in the Post-genomic Era: New Approaches to
Discovering Drugs and Understanding Therapeutic Mechanisms ... what
distinguishes systems pharmacology is its laser-like focus on compounds and
how they perturb biological systems and pathways. How specifically do
compounds—failed and successful drugs as well as others—work in the body?
What are the detailed mechanisms? How are they influenced by various ‘omics?
How do they vary by tissue? etc. ... The practical implications of such a
compound-centric approach are exciting: new targets, new screens, new markers,
new understanding of drug failure mechanisms. Indeed sophisticated drug
failure analysis may be one of SP’s most promising goals and eventually most
rewarding contributions." What is (Quantitative) Systems
Pharmacology? John Russell, BioIT World Jan 2012
http://www.bio-itworld.com/
issues/2012/jan/what-is-
quantitative-systems-
pharmacology.html
structural
pharmacogenomics:
Applying
structural genomics toward understanding the consequences of
single nucleotide polymorphisms (SNPs). .
systems
pharmacology:
Mechanism-based pharmacokinetic and pharmacodynamics (PKPD) and disease
system (DS) models have been introduced in drug discovery and development
research, to predict in a quantitative manner the effect of drug treatment in
vivo in health and disease. … Recently systems pharmacology has been introduced
as novel approach to predict in vivo drug effects, in which biological networks
rather than single transduction pathways are considered as the basis of drug
action and disease progression. These models contain expressions to characterize
the functional interactions within a biological network. Such interactions are
relevant when drugs act at multiple targets in the network or when homeostatic
feedback mechanisms are operative. As a result systems pharmacology models are
particularly useful to describe complex patterns of drug action (i.e. synergy,
oscillatory behavior) and disease progression (i.e. episodic disorders). Systems
pharmacology – Towards the modeling of network interactions
lMeindert Danhof
https://doi.org/10.1016/j.ejps.2016.04.02
European Journal of Pharmaceutical Sciences
Volume 94, 30 October 2016,
Pages 4-14
http://www.sciencedirect.com/science/article/pii/S0928098716301336
therapeutic
equivalency: The relative equivalency in the
efficacy of different modes of treatment of a disease, most often used to
compare the efficacy of different pharmaceuticals to treat a given disease.
MeSH, 1970
therapeutic index TI:
is
used to compare the therapeutically effective dose to
the toxic dose of
a pharmaceutical agent. The TI is
a statement of relative safety of a drug. It is the ratio of the dose that
produces toxicity to
the dose needed
to produce the desired therapeutic response. The common method used to derive
the TI is
to use the 50% dose-response points,
including TD50 (toxic dose)
and ED50 (effective dose).
NLM, Toxtutor
https://toxtutor.nlm.nih.gov/02-005.html
translational
pharmacodynamics:
Guidance for the use of biomarkers in pharmaceutical development and
clinical trial optimization will reduce developmental cycle time. A
'fit-for-purpose' guidance for biomarker use is considered herein when the same
biomarker is applied in very different contexts in drug development and after
regulatory approval. Recent approved use of renal safety biomarkers in Good
Laboratory Practice studies lacks sufficient guidance for the use of these
markers across the drug development pipeline. In lead optimization, renal injury
biomarkers are possible anchors for promising new prodromal metabolic
biomarkers, which are applied before lead candidate selection.
A guidance for renal biomarker lead optimization
and use in translational pharmacodynamics. Ozer JS. Drug Discov Today. 2010
Feb;15(3-4):142-7. Epub 2009 Dec 21.
http://www.ncbi.nlm.nih.gov/pubmed/20026239
Narrower term: pharmacodynamics
Voluntary Genomic Data Submissions VGDS: The
designation for pharmacogenomic data submitted voluntarily to the FDA.
Guidance for Industry, Pharmacogenomic Data Submissions CDER, CBER, CDRH,
FDA, March 2005 Non-binding recommendations. http://www.fda.gov/cber/gdlns/pharmdtasub.pdf
Pharmacogenomics &
Precision Medicine Resources
EMEA, European Medicines Agency, Guidelines on Pharmacogenetics Briefing
Meetings, 2008 20 plus definitions
http://www.emea.europa.eu/pdfs/human/pharmacogenetics/2022704en.pdf
Genetics Home
Reference, What is Pharmacogenomics? 2013
http://ghr.nlm.nih.gov/handbook/genomicresearch/pharmacogenomics
Nature: Personalized medicine
https://www.nature.com/subjects/personalized-medicine
Pelikan, Edward W. Glossary of terms and symbols used in pharmacology, Boston University Medical
School, US, 2004, about 300 definitions.
https://www.bumc.bu.edu/busm-pm/academics/resources/glossary/
How
to look for other unfamiliar terms
IUPAC definitions are reprinted with the
permission of the International Union of Pure and Applied Chemistry.
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