Background
With the arrival of technology that has facilitated deoxyribonucleic acid (DNA) testing,
there is an increasing push from both physicians and patients to practice precision
medicine with the goal of maximizing therapeutic benefits and minimizing adverse events.
The recently published Rome Foundation Working Team Report cites pharmacogenomic testing
as a potential tool for optimizing neuromodulator use as primary or augmentation therapy.
1
The interest in precision medicine has also been increasing in medical
2
–4
as well as lay media questioning its true utility.
5
In light of this interest, we seek to provide a review of the role of pharmacogenomics
in the treatment of functional gastrointestinal (GI) diseases.
Precision medicine is based on identification of a patient’s specific disease subtype,
pathogenetic mechanism or pharmacokinetics, and utilizes targeted therapy to treat
the disease without damage to healthy organs or tissue. Examples of this have been
achieved in various cancers such as human epidermal growth factor receptor 2 (HER2)-positive
breast cancers or Philadelphia chromosome positive leukemias. In these diseases, the
medications, Herceptin® and imatinib, respectively, are targeted directly to the aberrant
mechanism causing the disease, with minimal adverse consequences to normal tissue.
Despite this success, the application of precision medicine has not been widely implemented
outside of the oncology sphere due to several challenges. In order to deliver precise
therapy, there has to first be an identifiable target that is the root cause of the
disease, and then therapy can be preferentially directed at that target. A second
corollary is that the genetics-based intervention has to be consequential and cost
effective. Both of these preconditions need to be met for genomics-based personalized
management to take root in the practice of gastroenterology, particularly for functional
GI diseases (FGID).
Pharmacogenomics evaluates genetic variation and how changes in the genetic code can
lead to changes in drug effects via alterations in metabolism or by changes in therapeutic
targets. The variability of the genetic code comes largely in the form of polymorphisms,
defined as one or more variants of a particular DNA sequence, most commonly at a single
base pair, termed a single nucleotide polymorphism. These can lead to disease, changes
in drug response, or other changes in phenotypes. Larger polymorphisms can involve
insertions or deletions of longer stretches of DNA, which can cause significant damage
if the encoded protein is abnormal in structure, truncated, or not produced entirely.
The clearest application of pharmacogenomics in FGID therapeutics relates to the central
neuromodulators. Taking a leaf from the widespread application of cytochrome p450
(CYP) testing in psychiatry, gastroenterologists are testing CYP2D6, 2C19 and 3A4
in patients being considered for such agents.
Drug metabolism
Once administered, pharmacologic agents undergo several phases of metabolism to change
their therapeutic activity and eventually facilitate excretion. Phase I metabolism
generally increases hydrosolubility of molecules via enzymatic reactions. The CYP
enzymes are responsible for about 75% of these reactions and catalyze oxidative reactions
including hydroxylation, epoxidation, dealkylation, deamination, and dehalogenation.
6
Polymorphisms in CYP enzymes can alter the functions of these enzymes, leading to
different rates of drug metabolism and subsequent differences in drug tolerance among
individuals, changing both therapeutic and toxicity thresholds. ‘Ultrarapid metabolizers’
have no drug response at normal doses (nonresponders); ‘extensive metabolizers’ have
expected response to standard doses (normal); ‘intermediate metabolizers’ have slight
increased response and increased toxicity to standard doses; ‘poor metabolizers’ have
slow, to no, drug metabolism, leading to high drug levels at standard doses and higher
risk for drug toxicity.
Notably, if the medication administered is in the form of a prodrug which requires
metabolism for activation, then the impact of polymorphisms is opposite that of above.
Ultrarapid metabolizers will have increased drug levels given increased levels of
activation whereas poor metabolizers will have low to no levels of active drug.
7
It is estimated in population studies that ultrarapid and poor metabolizers each constitute
8% of the population.
8
As these subgroups have the greatest risk of aberrant drug behavior, it follows that
pharmacogenomics are likely to be clinically relevant in less than 20% of the population.
Generally, intermediate metabolizers may require dose adjustment if optimal response
is not achieved with the recommended dose, but one does not expect negative clinical
consequences.
Several of the CYP enzymes responsible for phase I metabolism are important in drug
metabolism in FGIDs.
CYP2D6 and the central neuromodulators
The CYP2D6 enzyme has more than 100 genetic variations, with both functional and non-functional
alleles. CYP2D6 is responsible for metabolism of antidepressants including tricyclic
antidepressants (TCAs) and selective serotonin reuptake inhibitors (SSRIs), both of
which are frequently used for management of pain modulation in treatment of FGIDs.
9
The number of functional CYP2D6 genes has been shown to be correlated with the metabolism
of nortriptyline, a TCA.
1
How this translates to therapeutic response in FGID treatment needs to be studied
further, but suggests that choice of therapy for improvement of pain control in these
patients could be tailored to maximize drug efficacy depending on an individual patient’s
pharmacogenomics.
CYP2C19 and proton-pump inhibitors and H2 receptor antagonists
For the treatment of functional dyspepsia, current guidelines recommend a trial of
acid suppression,
10
and both proton-pump inhibitors (PPIs) and H2 receptor antagonists have been shown
as superior to placebo.
11
The majority of PPIs, as well as cimetidine, are inactivated by the CYP2C19 enzymes,
and polymorphisms of CYP2C19 lead to variable efficacy of this class of medication.
In this case, poor metabolizer variants lead to decreased degradation rates and increased
drug levels. The frequency of this genetic variation varies by ethnicity and is higher
in Asian populations (15–20% of Japanese) compared with Whites (2–6%). Patients with
functional dyspepsia who are homozygous for this variant, CYP2C19, have been shown
having dyspepsia resolution with shorter mean durations of treatment.
12
This has also been supported with lower failure rates with on-demand pantoprazole
therapy after esophagitis treatment for patients who are poor metabolizers.
13
Conversely, patients who are ultrarapid metabolizers have poor response to the majority
of PPIs and to trial with the PPI, rabeprazole, which is metabolized through the CYP3A4
enzymes, and may produce a more robust therapeutic response.
CYP3A4
In addition to metabolism of rabeprazole, CYP3A4 is responsible for the metabolism
of a vast array of drugs, including immunosuppressants, chemotherapeutics, and antifungal
and antimicrobial agents. Included in this extensive list are the prokinetic agents,
cisapride [a 5-hydroxytriptamine (HT)4 receptor agonist] and erythromycin (a motilin
agonist), both of which are used rarely off label in the treatment of gastroparesis
and functional dyspepsia. Polymorphisms leading to poor metabolizer states, as well
as inhibitors of CYP3A4, can cause increased drug levels. When used together with
CYP3A4 inhibitors, these drugs have been associated with torsade de pointes and cardiac
arrhythmias.
7
Lists of CYP3A4 inducers and inhibitors are provided elsewhere.
7
CYP3A4 is responsible for metabolism of the short-acting benzodiazepine, alprazolam,
and, in conjunction with other CYP enzymes, it also metabolizes alosetron, a 5HT3
receptor antagonist used in the treatment of diarrhea-predominant inflammatory bowel
disease. Coadministration of these medications, which may be clinically indicated
in this patient group, may lead to competitive inhibition of the enzyme and increased
drug levels of one or both medications. Whereas, an open-label, randomized, crossover
study in healthy volunteers did not show change in pharmacokinetics of alprazolam
with coadministration of alosetron;
14
this has not been tested in patients with FGID or in patients who are CYP3A4 poor
metabolizers, in whom the drug effects may be augmented.
Targeting biomarkers of gastrointestinal diseases
Within gastroenterology, clinicians attempting precision medicine have pursued multiple
avenues, including development of enhanced imaging techniques and biomarkers to guide
endoscopic biopsies,
15
isolation of gene abnormalities in fatty liver disease to develop targeted treatment,
16
and employment of pharmacogenomics to optimize drug selection and dosage.
Thiopurines in inflammatory bowel diseases: pharmacogenetics or pharmacokinetics?
Perhaps the most common application of pharmacogenomics in the practice of gastroenterology
is the testing of the thiopurine S-methyltransferase (TMPT) gene prior to utilization
of thiopurines such as azathioprine for immunosuppression in inflammatory bowel disease
or autoimmune hepatitis. In Western populations, the main pathway in thiopurine metabolism
is based on TPMT, but other pathways of metabolism have been shown in recent studies
to also impact the therapeutic and toxicity index of the thiopurines. In Asian populations,
nudix hydrolase or NUDT15 gene variants have been shown to impact thiopurine toxicity,
17
and inosine triphosphate pyrophosphohydrolase [ITPA] gene impacts drug efficacy.
18
ITPA gene variants have also been shown to correlate positively with azathioprine
response in Spanish and South American populations. Deficiencies have been associated
with nonmyelosuppression adverse effects, such as nausea, pancreatitis, and skin rashes.
19
With conventional thiopurine doses, homozygous TPMT-deficient patients (~1 in 178
to 1 in 3736 individuals with two nonfunctional TPMT alleles) experience severe myelosuppression;
on the other hand, 30–60% of individuals who are heterozygotes (~3–14% of the population)
show moderate toxicity, and homozygous wildtype individuals (~86–97% of the population)
show lower active thioguanine nucleotides (and therefore potentially lower efficacy)
and less myelosuppression.
20
However, given that normal red blood cell TPMT levels did not prevent the development
of leukopenia in patients treated with thiopurines,
21
it is still controversial whether genetic testing or enzyme measurements are preferable
for predicting efficacy or toxicity of thiopurines in inflammatory bowel disease.
22
Based on the costs of phenotype (drug level pharmacokinetics) testing and genotype
testing over a decade ago, it was estimated that the former were more cost effective
and had a greater likelihood of pre-empting leukopenia.
23
In fact, one could argue that a hematology check is indicated after the first month
of treatment with a thiopurine anyway, and the risk of severe myelotoxicity is estimated
at 1 in 176 to 1 in 3736. Therefore, a case could be made for forgoing genetic testing
and only estimating red cell drug levels to optimize treatment dosage if the patient
is not achieving optimal response based on standard dosing.
Pathways, targets and treatments in FGID
There are, as yet, no established ‘druggable’ mechanisms or pathways in FGID. While
the majority of FGID is multifactorial, there are a few examples where genetic polymorphisms
of certain receptor or protein targets have been implicated in the alteration of disease
surrogates or biomarkers, such as GI transit. The prime example to date is SERT, a
serotonin-transporter protein.
SERT is a sodium-dependent serotonin transporter central to fine tuning of 5HT neurotransmission
in the brain, but is also a key regulator of endogenous and exogenous serotonin effects
on the GI tract. SERT is located on the presynaptic neuron and acts to reuptake and
clear 5HT from the synaptic cleft, limiting serotonergic activation of the postsynaptic
5HT3 and 5HT4 receptors.
The promoter region of the SERT coding sequence (SERT-P) contains a polymorphic region
with a long and short variant. The long variant, 5-HTTLPR*LL, allows normal promoter-mediated
transcription and production of the transporter protein. One copy of the short variant
allele (5-HTTLPR*LS) is enough to cause decreased SERT transcription
24
and, subsequently, to cause increased serotonin activation of the postsynaptic neuron,
which then leads to accelerated colonic transit.
25
The pharmacogenomic implication of this genetic variation was demonstrated in the
responsiveness of patients with irritable bowel syndrome (IBS) to the 5HT3 antagonist,
alosetron, used in the treatment of diarrhea-predominant IBS (IBS-D), as well as to
the 5HT4 agonist, tegaserod, used in the treatment of constipation-predominant IBS
(IBS-C). In patients with 5-HTTLPR*LL, there is a relatively decreased amount of residual
serotonin in the synaptic cleft due to optimal synthesis of SERT and reuptake into
the presynaptic neuron. As expected, studies have shown enhanced colon transit in
response to alosetron (increased efficacy of 5HT3 receptor antagonism),
26
and decreased patient response to tegaserod in comparison to those with the LS variant.
27
Thus, depending on the allelic make up of 5-HTTLPR, there are different levels of
transcription of the SERT protein, and patients with IBS may require targeted adjustments
of their medication dose to optimize therapeutic effect.
Clinical implementation of pharmacogenomics in gastroenterology
Implementation of pharmacogenetics has been most widely available in oncology where
gene testing for oncogenic aberrancies allows for targeting of chemotherapy. TMPT
testing in gastroenterology is widely available and utilized to guide the dosage of
azathioprine. Currently, there are approximately 1236 US Food and Drug Administration
(FDA)-approved drugs whose targets have known functional genetic variants that may
influence drug dosing, efficacy, and toxicity. Pharmacogenomic testing is commercially
available for all of the CYP enzymes discussed above. However, while there was general
agreement in the genotyping results across different companies conducting the tests,
there were differences in the predicted phenotype from those test results and, therefore,
recommendations issued from such tests are currently not standardized and testing
from distinct companies should not be used interchangeably.
28
Studies of the FDA-approved medications estimate that approximately 7% of the 1236
FDA-approved drugs and 18% of prescriptions in the United States may be affected by
genes for which pharmacogenomic testing is available.
29
While the clinical impact of these variants requires further evaluation, the prevalence
of these genetic variants and our experience with variable responses to medication
therapy suggest great potential for improved efficacy by matching the medication dose
to the type of enzyme metabolism in the individual patient.
In FGIDs, while studies suggest that genetic polymorphisms in immunomodulatory and
neuromodulatory proteins contribute to the pathogenesis of the disease,
30
the presence of these polymorphisms has not been associated with a difference in treatment
response. For example, in functional dyspepsia, homozygosity for a G-protein beta-3
(GNB3) subunit gene polymorphism (825C) was shown to be associated with unexplained
upper GI symptoms.
31
However, while homozygosity of this polymorphism in patients with nonsteroidal anti-inflammatory
drug (NSAID)-induced GI complaints was associated with higher baseline symptom load
compared with heterozygous patients, the presence of the polymorphism did not predict
therapeutic response to treatment with PPIs.
32
Similarly, neither the presence of GNB3 835C nor 5HTTLPR influenced the response to
therapy in functional dyspepsia patients treated with tricyclic or SSRI antidepressants.
33
In deciding whether to use these central modulators such as tricyclic or SSRI antidepressants,
which are also often used for pain control in IBS, physicians in psychiatry have benefited
from pharmacogenomic testing to maximize benefit and minimize toxicity. However, studies
using pharmacogenomic profile testing to guide the selection of dosing of these medications
for GI disorders are lacking.
1
These data suggest that, while there is a large potential for the use of pharmacogenomics
in the treatment of FGIDs, the practical application of these data to a therapeutic
plan still requires further study.
Conclusion
The ideal goal of precision medicine is to provide individualized treatment to each
patient, with optimized therapeutic effect and minimum adverse effects. Pharmacogenomics
is a subset of precision medicine that studies genetic variations in metabolism enzymes
or drug targets and their impact on drug efficacy and toxicity. The clinical utility
of pharmacogenomics in FGID faces similar challenges to that of precision medicine
as a whole. The pathophysiology of FGID is likely a complex interaction of genetic
and environmental influences, making it difficult to identify a clear target for diagnosis
or treatment. Currently, the application of pharmacogenomics in FGID centers around
genetic variations of the CYP450 system and several other genes influential in the
development of specific FGID and are candidates for further pharmacogenomic analysis.
Pharmacogenomic testing is now commercially available, and the prevalence of genetic
variants related to drug action suggests a potential for significant clinical utility,
but this will require further study. At this stage, we cannot conclusively determine
whether the field fosters hope associated with the considerable hype, or is just deserving
of feigned praise.