Abstract
Antidepressants are frequently prescribed as co-analgesics in chronic pain. While their efficacy is well documented for neuropathic pain, the evidence is less clear in musculoskeletal pain conditions. The present study therefore evaluated the effect of the tricyclic antidepressant imipramine on chronic low-back pain in a randomized, double-blinded placebo-controlled design. To explore the mechanisms of action and the influence of drug metabolism, multimodal quantitative sensory tests (QST) and genotyping for cytochrome P450 2D6 (CYP2D6) were additionally performed. A single oral dose of imipramine 75 mg was compared to active placebo (tolterodine 1 mg) in 50 patients (32 females) with chronic non-specific low-back pain. Intensity of low-back pain was assessed on a 0–10 numeric rating scale at baseline and every 30 minutes after drug intake. Multimodal QST were performed at baseline and in hourly intervals for 2 hours. Pharmacogenetic influences of cytochrome P450 were addressed by CYP2D6 genotyping. No significant analgesic effect was detected neither on low-back pain nor on any of the sensory tests in the overall analyses. However, evidence for an interaction of the imipramine effect and CYP2D6 genotype was found for electrical and for pressure pain detection thresholds. Intermediate but not extensive metabolizers had a 1.20 times greater electrical pain threshold (95%-CI 1.10 to 1.31) and a 1.10 times greater pressure pain threshold (95%-CI 1.01 to 1.21) 60 minutes after imipramine than after placebo (p<0.001 and p = 0.034, respectively). The present study failed to demonstrate an immediate analgesic effect of imipramine on low-back pain. Anti-nociceptive effects as assessed by quantitative sensory tests may depend on CYP2D6 genotype, indicating that metabolizer status should be accounted for when future studies with tricyclic antidepressants are undertaken.
Introduction
Tricyclic antidepressants (TCAs) are frequently used in chronic pain therapy. Albeit most effective in neuropathic pain [1,2], they are as well prescribed in many other painful conditions, including fibromyalgia, headaches or chronic low-back pain. There are several reasons for using TCAs in chronic low-back pain: they favorably influence concomitant mood disorders, may improve sleep quality and exert an analgesic effect. The rationale for an analgesic effect is the modulating action at serotonergic and noradrenergic pathways involved in nociceptive transmission and endogenous pain modulation [3].
Some clinical studies have reported beneficial effects of TCAs in chronic low-back pain [4,6], assessed by outcomes such as pain intensity or functional improvement after trial periods of several weeks. These findings, however, might as well be related to the effects of TCAs on sleep quality or mood, and therefore do not provide sufficient mechanistic information about the action of these drugs. On the other hand, most of the mechanistic knowledge about the anti-nociceptive properties of TCAs is derived from studies in animals or human volunteers rather than pain patients. Here, it has indeed been shown that TCAs exert acute anti-nociceptive effects [7–11] as assessed by quantitative sensory tests (QST), already after a single TCA dose. With regard to acute pain, there is currently hardly any evidence for the use of antidepressants [12].
Pain practitioners are thus faced with two questions: does clinical improvement really suggest a genuine analgesic effect of a TCA, and does anti-nociception assessed by QST also imply a clinically meaningful treatment outcome?
An answer to this question might be provided by combining both the mechanistic and the clinical approach in the same study. Unfortunately, studies comparing the analgesic effect of TCAs in chronic pain with anti-nociceptive effects using QST are sparse. The present study was part of a larger project investigating the prediction of the effect of different drugs on chronic low-back pain [13] (S1 Appendix). Here, we report the results of a randomized, double-blinded and placebo-controlled sub-study which investigated the effect of a single oral dose of the TCA imipramine on both low-back and experimental pain in humans. Effects on low-back pain and experimental pain (QST) were analyzed separately for genetic polymorphisms of cytochrome P450 2D6 (CYP2D6), the major metabolic pathway of imipramine.
Methods
Setting
The study took place at the University Department of Anesthesiology and Pain Therapy, Inselspital Bern, Switzerland between July 2010 and April 2014. It was approved by the local ethics committee Kantonale Ethikkommission Bern (KEK 213/09) and registered at clinicaltrials.gov (NCT01179828). All participants gave written informed consent prior to inclusion.
Patients
Consecutive patients aged between 18 and 80 years with chronic low-back pain of at least 3 months duration were recruited by advertisement in local newspapers and from our outpatient pain clinic. Exclusion criteria were pain intensity at rest <3/10 on the numerical rating scale (NRS) at the time of testing (whereby 0 = no pain and 10 = worst pain imaginable), suspected radicular pain (as defined by leg pain associated with an MRI finding of a herniated disc or foraminal stenosis), signs or suspicion of neurological dysfunction at the tested sites, pregnancy (as assessed by pregnancy test), breast feeding, ongoing treatment with an antidepressant, opioid or anticonvulsant, intake of centrally active substances (including drug or alcohol abuse), known allergy or pharmacological contraindications to imipramine or tolterodine (active placebo), multi-site or widespread pain, systemic inflammatory or rheumatological disease, and major depression (Beck Depression Inventory short form score >9). Analgesic medication had to be stopped one week before the first experiment. Only acetaminophen or ibuprofen were allowed as rescue medication until 24 hours before the experiments. Patients unable to stop their analgesic regimen were not recruited.
Study medication
Previous studies in healthy volunteers used single oral imipramine doses of 100 mg [10,11] with no serious adverse effects. Nevertheless, given that the present patient population would be older and maybe more prone to side-effects, a single oral dose of imipramine 75 mg was chosen. The anti-cholinergic compound tolterodine 1 mg was used as active placebo in a cross-over fashion. Tolterodine is prescribed for hyperactive bladder disorders. It is a specific antagonist at muscarinic M2- and M3-receptors and should be devoid of any analgesic effects, but mimics some of the sedative side effects such as blurred vision, drowsiness and sleepiness. This allowed for better blinding of patients and investigators than an ineffective placebo. A minimal wash-out period of one week between sessions was ensured. The drugs were administered as identical-looking red gelatin capsules in random order and in a fasting state. Blinding and randomization were provided by the hospital pharmacy as described in detail in the study protocol [13] (S1 Appendix).
Intensity of low-back pain
Intensity of low-back pain was assessed on a 0–10 NRS at baseline and in intervals of 30 minutes up to 2 hours after drug intake, both in the supine position and after 10 minutes of sitting. The patients’ global impression of change scale (PGIC) was assessed on a 7 point scale ranging from “1 = very much improved” over “4 = no change” to “7 = very much worse”, in intervals of 30 minutes, starting 30 minutes after drug administration.
Quantitative sensory testing
Quantitative sensory testing was performed at baseline as well as one and two hours after drug administration. All tests were performed at the more painful body side. In case of bilateral or midline pain, the side was randomly selected. The detailed methodology is described elsewhere [13] (S1 Appendix). In brief, pressure pain detection and tolerance thresholds (PPDT and PPTT) were measured at the second toe using an electronic algometer (Somedic AB, Horby, Sweden). Electrical single pain threshold (ESPT) and electrical repeated pain threshold (ERPT with 5 stimuli at 2 Hz inducing temporal summation) were measured using a constant current stimulator (Digitimer Ltd, Welwyn Garden City, UK) and two surface electrodes attached below the lateral malleolus in the innervation area of the sural nerve. Heat pain detection and tolerance threshold (HPDT and HPTT) as well as cold pain detection threshold (CPDT) were measured at the ipsilateral leg at the L5-dermatome and the ipsilateral forearm at the C6-dermatome using a Peltier thermode (TSA II, Medoc, Ramat Yishai, Israel). Conditioned pain modulation (CPM) was assessed at baseline only using the cold pressor test of the contralateral hand as conditioning stimulus. Electrical train of five stimulation at an intensity 1.2 times the ERPT was rated by the subjects on a 0–10 NRS before and during the cold pressor test. The percent decrease in ERPT rating during the cold pressor test was calculated as an indication of CPM. Furthermore, the time until cold pressor pain reached 7/10 NRS was recorded. Hand immersion in ice water was repeated after 1 and 2 hours and the time to NRS 7 was noted. For all tests, triplicate measurements were recorded. A complete series of training measurements was performed before baseline assessments, in order to familiarize patients with the procedure.
Descriptive variables and side effects of medication
The following descriptive variables were assessed on a questionnaire before the first study session: age, sex, body mass index (BMI), pain duration in years, history of surgery due to the painful condition, average pain intensity during the last 24 hours on a 0–10 NRS, pain-related life interference from the multidimensional pain inventory (MPI), catastrophizing scale and Beck Depression Inventory (BDI). Patients rated the intensity of nausea, dizziness and sedation every 30 minutes after drug intake on a 0–10 NRS.
Genotyping
Genomic variants of cytochrome CYP2D6 were assessed by real time polymerase chain reaction (PCR) and identification of specific variants by means of melting curve analysis. The following alleles were examined: CYP2D6 *3, *4, *5, *6, *8, *10 and *41 as well as gene multiplication. Alleles with none of these variants were categorized as “wild-type” (wt, *1). Translation of the genotypes into a qualitative measure of phenotype was made according to Gaedigk’s system of “activity scores” [14]: alleles *3,*4,*5,*6,*7, and *8 were assigned a value of 0, alleles *10 and *41 a value of 0.5, the wild type (wt) allele a value of 1, and wtxN (representing multiplication of the wt allele) a value of 2. The sum of the values assigned to each single allele resulted in a CYP2D6 activity score. Activity scores of 0 correspond to poor metabolizers (PM), scores of 0.5–1 to intermediate metabolizers (IM); scores of 1.5–2 to extensive metabolizers (EM) and scores of 3 to ultra-rapid metabolizers (UM) with a duplication or multiplication of a functional allele.
Statistical analyses
Normal distribution of variables was checked by visual inspection using quantile plots. Continuous and ordinal variables that were normally distributed (NRS) or normally distributed after log-transformation (PPDT, PPTT, ESPT, and ERPT) were analyzed by linear mixed models, with treatment group, time point and their interaction as covariates. The models were adjusted for baseline values and treatment phase (verum first vs. placebo first) in order to account for a possible learning effect. A carry-over effect was excluded by design (wash-out period between the phases) and was not tested for. A random intercept was added for each subject (to account for intra-subject correlation) and a random intercept and slope for each subject in each treatment phase (to account for repeated measures). Correlations between subsequent measurements were modeled with a first order autoregressive correlation structure. The treatment effect was calculated over all time points (joint p-value) and at each time point based on marginal models. HPDT and HPTT which were truncated at 50.5°C were analyzed by separate mixed tobit regression models at each time point with treatment group and phase as covariates and subject ID as panel variable. CPDT was dichotomized (reaching 0°C) and analyzed by separate logistic GEEs at each time point with treatment group and phase as covariates and subject ID as panel variable. Sample size considerations were based on a larger project and have already been published [13] (S1 Appendix). For a subgroup analysis, CYP2D6 metabolizer group and its interaction with treatment group were added to the models. All statistical analyses were made using STATA (STATA Corp, College Station, Texas).
Results
A total of 50 patients were enrolled (32 females), with a mean age of 54.4 years (SD 17.3 years) and average pain duration of 11.2 years (SD 12.3). Descriptive variables are detailed in Table 1. Study design and treatment allocation are shown in Fig 1. The CONSORT checklist can be found in S2 Appendix.
Table 1. Descriptive variables.
Number of patients | 50 |
Age (years) | 54.4 ± 17.3 |
Sex (female) | 32 (64%) |
BMI (kg/m2) | 26.6 ± 4.6 |
Pain duration (years) | 11.2 ± 12.3 |
Previous back surgery (yes) | 10 (20%) |
Average pain in 24h (0–10 NRS) | 5.6 ± 1.8 |
Impairment of daily life (min: 0, max: 10) | 2.4 ± 1.2 |
Catastrophizing score (min: 1, max: 6) | 1.6 ± 1.2 |
Beck Depression Index (min: 0, max: 21) | 2.3 ± 2.3 |
CYP2D6 PM | 3 (6%) |
CYP2D6 IM | 20 (40%) |
CYP2D6 EM | 26 (52%) |
CYP2D6 UM | 1 (2%) |
Continuous data are presented as means and standard deviations, ordinal data as numbers and percentages. BMI = Body mass index, NRS = numeric rating scale, PM/IM/EM/UM = poor, intermediate, extensive and ultrarapid metabolizers of CYP2D6.
Intensity of low-back pain
In terms of relief of low-back pain, imipramine was at no time point significantly different from placebo, neither in the sitting nor in the supine position. Pain intensity in supine position decreased from 4.2 to 2.6 after 2 hours in the imipramine arm and from 4.0 to 2.5 in the placebo arm (treatment effect 0.02 (-0.51 to 0.56), joint p = 0.950). The PGIC showed a corresponding trend to minimal improvement in both arms (imipramine 3.6 (3.3 to 3.9), placebo 3.4 (3.1 to 3.7), treatment effect -0.2 (-0.6 to 0.2), joint p = 0.669).
Quantitative sensory testing
No effect could be observed on the QST measures, with the exception of a 1.05 times higher PPTT in the imipramine session after 120 minutes (95%-CI 1.00 to 1.11), p = 0.038, Fig 2). The remaining QST parameters (i.e. ESPT, ERPT, PPDT, PPTT, time of ice immersion and all thermal pain tests) showed no significant change over time.
Genotyping—Effect of imipramine by CYP2D6 metabolizer status
During data analysis, QST results were plotted for each CYP2D6 metabolizer group. It became apparent upon visual inspection that anti-nociceptive effects might depend on metabolizer status. Subgroup analyses were therefore performed in order to check for interactions of imipramine effect with metabolizer status. However, this subgroup analysis had to be restricted to intermediate (n = 20) and extensive metabolizers (n = 26, thus roughly comparable in subsample size), because there were too few poor (n = 3) and ultra-rapid (n = 1) metabolizers. All patients were successfully genotyped. The frequency of each of the four metabolizer phenotypes is displayed in Table 1. Mutant allele frequencies were 22.0% for *10, 19.0% for *4, 8.2% for *41, 5.0% for *5. Mutant alleles for *3, *6 and *8 were not found at all. These numbers are in line with Gaedigk’s in a Caucasian population [14].
Again, relief of low back pain after medication was not different between imipramine and placebo, but a significant effect on QST could be detected in intermediate metabolizers of CYP2D6. This was most pronounced for ESPT: intermediate metabolizers had 1.20 (1.10 to 1.31) and 1.15 (1.04 to 1.26) times higher ESPT 60 and 120 minutes after imipramine compared to placebo (p<0.001 and p = 0.006, respectively), whereas it remained almost unchanged in extensive metabolizers. This interaction was highly significant (p = 0.007). A similar but weaker trend for interaction could be observed in the ERPT measurements (interaction p = 0.079).
After imipramine, intermediate metabolizers had a tendency towards higher PPDT after 60 and 120 minutes (1.10 (1.01 to 1.21), and 1.07 (0.97 to 1.17)), whereas extensive metabolizers showed no such tendency (interaction p = 0.054). Intermediate metabolizers had 1.07 times higher PPTT 120 minutes after imipramine compared to placebo (95%-CI 1.00 to 1.17, p = 0.047), but a dependency on CYP2D6 metabolizer status was not found (interaction p = 0.475). No significant differences between imipramine and placebo and hence no interaction between genotypes were observed in the thermal QST. After imipramine, intermediate metabolizers took longer until the cold pressor pain reached NRS 7/10 than after placebo (mean ratios 1.20 (1.02 to 1.42), and 1.17 (0.98 to 1.40) at 60 minutes (p = 0.032) and a little less so after 120 minutes (p = 0.08). An illustration of the interactions is displayed in Fig 3. Table 2 displays the detailed results for electrical, mechanical and cold pressor tests. The results of thermal QST are displayed in S1 Table.
Table 2. Quantitative sensory tests in intermediate and extensive metabolizers.
Time | 2D6 subtype | Marginal mean ratio (95% CI) | p value | p value for interaction | |
---|---|---|---|---|---|
ESPT | 60 | intermediate metabolizer | 1.20 (1.10 to 1.31) | 0.000 | 0.007 |
extensive metabolizer | 1.03 (0.96 to 1.11) | 0.403 | |||
120 | intermediate metabolizer | 1.15 (1.04 to 1.26) | 0.006 | ||
extensive metabolizer | 0.99 (0.90 to 1.07) | 0.736 | |||
ERPT | 60 | intermediate metabolizer | 1.08 (0.98 to 1.18) | 0.111 | 0.079 |
extensive metabolizer | 0.97 (0.89 to 1.05) | 0.451 | |||
120 | intermediate metabolizer | 1.05 (0.96 to 1.16) | 0.284 | ||
extensive metabolizer | 0.95 (0.87 to 1.03) | 0.223 | |||
PPDT | 60 | intermediate metabolizer | 1.10 (1.01 to 1.21) | 0.034 | 0.054 |
extensive metabolizer | 0.99 (0.91 to 1.07) | 0.722 | |||
120 | intermediate metabolizer | 1.07 (0.97 to 1.17) | 0.169 | ||
extensive metabolizer | 0.96 (0.88 to 1.04) | 0.278 | |||
PPTT | 60 | intermediate metabolizer | 1.01 (0.94 to 1.08) | 0.767 | 0.475 |
extensive metabolizer | 0.98 (0.92 to 1.04) | 0.506 | |||
120 | intermediate metabolizer | 1.07 (1.00 to 1.15) | 0.047 | ||
extensive metabolizer | 1.04 (0.98 to 1.11) | 0.210 | |||
Iwsec | 60 | intermediate metabolizer | 1.20 (1.02 to 1.42) | 0.032 | 0.231 |
extensive metabolizer | 1.05 (0.91 to 1.21) | 0.483 | |||
120 | intermediate metabolizer | 1.17 (0.98 to 1.40) | 0.080 | ||
extensive metabolizer | 1.03 (0.88 to 1.20) | 0.722 |
Effect of imipramine vs. placebo on pain detection threshold with a single (ESPT) or repeated electrical stimulus (ERPT), and on pressure pain detection (PPDT) and tolerance thresholds (PPTT), and the time until cold pain reaches 7 on NRS (Iwsec) for different CYP 2D6 genotypes (intermediate vs. extensive metabolizers). The effect is estimated on the log scale and presented as a mean ratio. A significant interaction would indicate that the effect differs between genotypes.
Side effects
Nausea, dizziness and sedation occurred in both the imipramine and the tolterodine session.
Overall, side effects were rated very low, but nausea and dizziness occurred significantly more after imipramine than after tolterodine. After 120 min, nausea was rated 0.3 (SD 0.9) in the imipramine arm and 0.0 (0.1) in the tolterodine arm (p = 0.025). Dizziness after 120 min was rated 0.6 (1.4) after imipramine and 0.1 (0.4) after tolterodine (p = 0.002). Overall, sedation was the strongest side effect after 120 min with 1.4 (2.2) in the imipramine and 1.1 (1.8) in the tolterodine arm. However, this was not significantly different (p = 0.452). Table 3 shows the ratings of side effects for both drugs at every time point.
Table 3. Occurrence of nausea, dizziness and sedation after drug intake.
Imipramine | Tolterodine | p-value | |
---|---|---|---|
Nausea | |||
30 min | 0.2 (0.8) | 0.0 (0.2) | 0.146 |
60 min | 0.0 (0.1) | 0.0 (0.1) | n/a |
90 min | 0.1 (0.5) | 0.0 (0.2) | 0.371 |
120 min | 0.3 (0.9) | 0.0 (0.1) | 0.025 |
Dizziness | |||
30 min | 0.5 (1.3) | 0.1 (0.6) | 0.024 |
60 min | 0.4 (1.2) | 0.1 (0.5) | 0.119 |
90 min | 0.5 (1.2) | 0.1 (0.4) | 0.021 |
120 min | 0.6 (1.4) | 0.1 (0.4) | 0.002 |
Sedation | |||
30 min | 1.2 (1.9) | 1.3 (2.1) | 0.755 |
60 min | 1.3 (2.1) | 1.5 (2.3) | 0.460 |
90 min | 1.3 (2.1) | 1.3 (2.1) | 0.963 |
120 min | 1.4 (2.2) | 1.1 (1.8) | 0.452 |
Intensity of side effects nausea, dizziness and sedation, rated on a numeric rating scale between 0 (no side effect at all) and 10 (maximally imaginable side effect). Values are displayed as means (standard deviation).
Discussion
This study failed to demonstrate an immediate analgesic effect of a single oral dose of imipramine on non-specific low-back pain. Anti-nociceptive effects as assessed by QST were only observed in intermediate metabolizers of CYP2D6, after additional subgroup analyses.
Imipramine and low-back pain
There are two possible reasons why no significant analgesic effect of imipramine on low-back pain was detected in the present study. The first one is that a single oral dose may not be sufficient. The literature commonly states that antidepressants start to be effective only after several days [2,15]. This may be true for neuropathic pain conditions, where the benefit of antidepressants is well documented. Nevertheless, there is no convincing explanation for this delayed effect. Earlier studies have found TCAs to be effective in chronic low-back pain [4–6,16] after several weeks. However, none of these studies assessed whether an immediate analgesic effect already occurred after the first dose.
A mechanistic proof of analgesia or anti-nociception requires a correlation in time between drug intake and effect, ideally after single dose administration. Such a correlation can actually be seen with the side effects of TCAs, like sedation or dry mouth which occur soon after drug intake. When the analgesic effect of TCAs occurs with a delay, it may more likely be due to mood stabilization and improved sleep quality, leading to overall improved clinical well-being, rather than to analgesia.
The second explanation may be that imipramine is not effective in low-back pain at all. A closer look at the literature reveals that only two studies have evaluated the effect of imipramine on chronic low-back pain [4,17], and only a few more have investigated other tricyclic compounds [5,6,16]. The results are remarkably controversial. Jenkins et al. report no significant improvement after imipramine compared to placebo [17], whereas Alcoff et al. conclude that imipramine was potentially useful [4]. Several systematic reviews on tricyclic antidepressants for chronic low-back pain come to different conclusions [18–21], depending on which original articles they include. The most recent study [22] used amitriptyline and concluded that it was superior to pregabalin after 14 weeks of treatment. This was, however, an open-label trial without placebo control. The latest Cochrane review from 2008 does not at all support the use of antidepressants in chronic low-back pain [21]. The results of the present study do not imply that imipramine is ineffective in low-back pain, but suggest mechanisms of action other than analgesia.
Imipramine and QST
The anti-nociceptive properties of imipramine have been well documented in several previous studies. In animals, these effects are nearly immediate, and can be measured 5 minutes after intravenous [23] or 1 hour after intraperitoneal administration [24,25]. In human volunteers, anti-nociceptive effects significantly superior to placebo were detected 90 minutes after oral administration [7]. The present study, however, showed no effect in the primary analyses at that time or later.
There are several possible explanations for this discrepancy. Firstly, two hours observation time may have been insufficient. But given that peak plasma concentrations of imipramine are reached between 2 and 3 hours [26], one would at least expect a trend in the last QST measurements after 2 hours. Another explanation might be the choice of QST modalities. The study of Poulsen et al. [11] showed a significant effect of imipramine on pain tolerance thresholds, but none on pain detection thresholds. This could subsequently be replicated by Enggaard et al. [10]. With the exception of PPTT (for which, notably, an anti-nociceptive trend was observed), the stimuli in the present work were not exceedingly intense and therefore, relevant effects may have been missed. More intense pain paradigms such as electrical pain tolerance, ischemic pain or a capsaicin model may be considered for future studies. A study by Wallace et al. [27] found that skin touch as well as warm and cold sensation thresholds remained unchanged by desipramine. They concluded that desipramine had no effect on acute nociception, but they had not tested any pain tolerance thresholds. The most intriguing explanation, however, why imipramine had no effect in the in the present study may be that the onset of anti-nociception depends on the speed of drug metabolism. Imipramine is partly transformed to its active metabolite desipramine by N-demethylation via CYP2C19. Both imipramine and desipramine are hydroxylated to 2-Hydroxy-imipramine and 2-Hydroxy-desipramine by CYP2D6, which are the rate-limiting steps [28]. These occur somewhat faster in extensive than in intermediate metabolizers. During the short observation period of two hours, when enteral absorption may still be in progress, plasma levels rise more slowly in extensive metabolizers because more of the active compounds are hydroxylated by CYP2D6. This may explain why only intermediate metabolizers showed anti-hyperalgesic effects at that time. The overall analysis showed no net effect on QST, because the effect in intermediate metabolizers was counterbalanced by a lack of effect in extensive metabolizers. Anti-hyperalgesic effects may therefore become evident only when genotypes are analyzed separately.
To our knowledge, none of the previous studies took different CYP2D6 genotypes into account. Rather, Poulsen et al. [11] had explicitly enrolled only extensive metabolizers of imipramine. Trends to anti-nociceptive effects in these extensive metabolizers were noted 3–6 hours after drug intake. In the present study, extensive metabolizers might as well have shown such effects, had the observation time been longer. Intermediate metabolizers, on the other hand, started to show anti-nociceptive effects already after 2 hours. One might hypothesize that both intermediate and extensive metabolizers of imipramine experience anti-nociceptive effects, but that they occur sooner in intermediate and only later in extensive metabolizers.
Strengths and limitations
Most of the previously published work was performed on healthy volunteers using sample sizes between 10 and 20 individuals [7–11,27]. In contrast, the present study enrolled chronic pain patients, and the results are therefore more clinically relevant. Our sample is by far the largest one that examines imipramine and QST. Patients presented with homogeneous clinical findings, and were properly randomized and blinded. Given the possible delayed onset of action of TCAs, administration of a single oral dose may be debatable. However, the study aimed at detecting an analgesic effect. If this had been clinically relevant, it should have been detectable even after single dose administration. The relatively short observation time of 2 hours is a limitation of the study, as is the lack of measurements of imipramine plasma concentrations. It is known that plasma concentrations depend on metabolizer status [29], but not whether analgesic or anti-hyperalgesic effects correlate with plasma concentrations. Demonstrations of lacking drug effect despite adequate plasma concentrations would have supported our conclusions. The interaction analysis was not defined in the study protocol and has to be considered a post-hoc analysis with exploratory character. Multiple statistical testing has been performed and has to be taken into consideration when interpreting the reported p-values, since no correction for multiple comparisons was attempted.
Conclusions
The present study revealed no analgesic effect after a single oral dose of imipramine within 2 hours in chronic low-back pain patients. It does not necessarily challenge the clinical practice of prescribing TCAs in chronic low back pain. It suggests, however, that their effects may not be the result of an analgesic process in the classical sense. Other actions, such as mood and sleep modulation, may be more important than a direct analgesic effect. Furthermore, the study suggests that imipramine may have anti-nociceptive properties that depend on CYP2D6 metabolizer status and become evident only in experimental but pain tests. This finding has not been reported before and should be taken into account when planning future studies using tricyclic antidepressants.
Supporting information
Acknowledgments
We thank Marco Eschenmoser and his team from the hospital pharmacy for their time and effort in the preparation of the study medication.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This study was funded by the Swiss National Science Foundation SNF in the context of the Special Program for University Medicine SPUM 33CM30_140339 to MC.
References
- 1.Dharmshaktu P, Tayal V, Kalra BS. Efficacy of antidepressants as analgesics: a review. J Clin Pharmacol. 2012;52: 6–17. doi: 10.1177/0091270010394852 [DOI] [PubMed] [Google Scholar]
- 2.Lynch ME. Antidepressants as analgesics: a review of randomized controlled trials. J Psychiatry Neurosci. 2001;26: 30–36. [PMC free article] [PubMed] [Google Scholar]
- 3.Sindrup SH, Otto M, Finnerup NB, Jensen TS. Antidepressants in the treatment of neuropathic pain. Basic Clin Pharmacol Toxicol. 2005;96: 399–409. doi: 10.1111/j.1742-7843.2005.pto_96696601.x [DOI] [PubMed] [Google Scholar]
- 4.Alcoff J, Jones E, Rust P, Newman R. Controlled trial of imipramine for chronic low back pain. J Fam Pract. 1982;14: 841–846. [PubMed] [Google Scholar]
- 5.Pheasant H, Bursk A, Goldfarb J, Azen SP, Weiss JN, Borelli L. Amitriptyline and chronic low-back pain. A randomized double-blind crossover study. Spine (Phila Pa 1976). 1983;8: 552–557. [DOI] [PubMed] [Google Scholar]
- 6.Atkinson JH, Slater MA, Williams RA, Zisook S, Patterson TL, Grant I, et al. A placebo-controlled randomized clinical trial of nortriptyline for chronic low back pain. Pain. 1998;76: 287–296. [DOI] [PubMed] [Google Scholar]
- 7.Bromm B, Meier W, Scharein E. Imipramine reduces experimental pain. Pain. 1986;25: 245–257. [DOI] [PubMed] [Google Scholar]
- 8.Hummel T, Hummel C, Friedel I, Pauli E, Kobal G. A comparison of the antinociceptive effects of imipramine, tramadol and anpirtoline. Br J Clin Pharmacol. 1994;37: 325–333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Coquoz D, Porchet HC, Dayer P. Central analgesic effects of desipramine, fluvoxamine, and moclobemide after single oral dosing: a study in healthy volunteers. Clin Pharmacol Ther. 1993;54: 339–344. [DOI] [PubMed] [Google Scholar]
- 10.Enggaard TP, Poulsen L, Arendt-Nielsen L, Hansen SH, Bjornsdottir I, Gram LF, et al. The analgesic effect of codeine as compared to imipramine in different human experimental pain models. Pain. 2001;92: 277–282. [DOI] [PubMed] [Google Scholar]
- 11.Poulsen L, Arendt-Nielsen L, Brosen K, Nielsen KK, Gram LF, Sindrup SH. The hypoalgesic effect of imipramine in different human experimental pain models. Pain. 1995;60: 287–293. [DOI] [PubMed] [Google Scholar]
- 12.Wong K, Phelan R, Kalso E, Galvin I, Goldstein D, Raja S, et al. Antidepressant drugs for prevention af acute and chronic postsurgical pain: early evidence and recommended future directions. Anesthesiology. 2014;121: 591–608 doi: 10.1097/ALN.0000000000000307 [DOI] [PubMed] [Google Scholar]
- 13.Siegenthaler A, Schliessbach J, Vuilleumier PH, Juni P, Zeilhofer HU, Arendt-Nielsen L, et al. Linking altered central pain processing and genetic polymorphism to drug efficacy in chronic low back pain. BMC Pharmacol Toxicol. 2015;16: 23 doi: 10.1186/s40360-015-0023-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gaedigk A, Simon SD, Pearce RE, Bradford LD, Kennedy MJ, Leeder JS. The CYP2D6 activity score: translating genotype information into a qualitative measure of phenotype. Clin Pharmacol Ther. 2008;83: 234–242. doi: 10.1038/sj.clpt.6100406 [DOI] [PubMed] [Google Scholar]
- 15.McQuay HJ, Tramer M, Nye BA, Carroll D, Wiffen PJ, Moore RA. A systematic review of antidepressants in neuropathic pain. Pain. 1996;68: 217–227. [DOI] [PubMed] [Google Scholar]
- 16.Treves R, Montaine de la Roque P, Dumond JJ, Bertin P, Arnaud M, Desproges-Gotteron R. [Prospective study of the analgesic action of clomipramine versus placebo in refractory lumbosciatica (68 cases)]. Rev Rhum Mal Osteoartic. 1991;58: 549–552. [PubMed] [Google Scholar]
- 17.Jenkins DG, Ebbutt AF, Evans CD. Tofranil in the treatment of low back pain. J Int Med Res. 1976;4: 28–40. [PubMed] [Google Scholar]
- 18.Salerno SM, Browning R, Jackson JL. The effect of antidepressant treatment on chronic back pain: a meta-analysis. Arch Intern Med. 2002;162: 19–24. [DOI] [PubMed] [Google Scholar]
- 19.Staiger TO, Gaster B, Sullivan MD, Deyo RA. Systematic review of antidepressants in the treatment of chronic low back pain. Spine (Phila Pa 1976). 2003;28: 2540–2545. [DOI] [PubMed] [Google Scholar]
- 20.Kuijpers T, van Middelkoop M, Rubinstein SM, Ostelo R, Verhagen A, Koes BW, et al. A systematic review on the effectiveness of pharmacological interventions for chronic non-specific low-back pain. Eur Spine J. 2011;20: 40–50. doi: 10.1007/s00586-010-1541-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Urquhart DM, Hoving JL, Assendelft WW, Roland M, van Tulder MW. Antidepressants for non-specific low back pain. Cochrane Database Syst Rev. 2008;CD001703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kalita J, Kohat AK, Misra UK, Bhoi SK. An open labeled randomized controlled trial of pregabalin versus amitriptyline in chronic low backache. J Neurol Sci. 2014;342: 127–132. doi: 10.1016/j.jns.2014.05.002 [DOI] [PubMed] [Google Scholar]
- 23.Ilkaya F, Bilge SS, Bozkurt A, Bas DB, Erdal A, Ciftcioglu E, et al. The antinociceptive effect of intravenous imipramine in colorectal distension-induced visceral pain in rats: the role of serotonergic and noradrenergic receptors. Pharmacol Biochem Behav. 2014;122: 1–6. doi: 10.1016/j.pbb.2014.02.017 [DOI] [PubMed] [Google Scholar]
- 24.Otsuka N, Kiuchi Y, Yokogawa F, Masuda Y, Oguchi K, Hosoyamada A. Antinociceptive efficacy of antidepressants: assessment of five antidepressants and four monoamine receptors in rats. J Anesth. 2001;15: 154–158. doi: 10.1007/s005400170018 [DOI] [PubMed] [Google Scholar]
- 25.Yokogawa F, Kiuchi Y, Ishikawa Y, Otsuka N, Masuda Y, Oguchi K, et al. An investigation of monoamine receptors involved in antinociceptive effects of antidepressants. Anesth Analg. 2002;95: 163–168, table of contents. [DOI] [PubMed] [Google Scholar]
- 26.Abernethy DR, Greenblatt DJ, Shader RI. Imipramine and desipramine disposition in the elderly. J Pharmacol Exp Ther. 1985;232: 183–188. [PubMed] [Google Scholar]
- 27.Wallace MS, Barger D, Schulteis G. The effect of chronic oral desipramine on capsaicin-induced allodynia and hyperalgesia: a double-blinded, placebo-controlled, crossover study. Anesth Analg. 2002;95: 973–978, table of contents. [DOI] [PubMed] [Google Scholar]
- 28.Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, et al. Pharmacogenomics knowledge for personalized medicine. Clin Pharmacol Ther. 2012;92: 414–417. doi: 10.1038/clpt.2012.96 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Schenk PW, van Fessem MA, Verploegh-Van Rij S, Malhot RA, van Gelder T, Vulto AG, et al. Association of graded allele-specific changes in CYP2D6 function with imipramine dose requirement in a large group of depressed patients. Mol Psychiatry. 2008;13: 597–605. doi: 10.1038/sj.mp.4002057 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.