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. 2012 Nov 27;2(11):e198. doi: 10.1038/tp.2012.115

ABCB1 polymorphism predicts escitalopram dose needed for remission in major depression

A B Singh 1,2,*, C A Bousman 2,3,4,5, C H Ng 2, K Byron 6, M Berk 1,2,5,7
PMCID: PMC3565756  PMID: 23188198

Abstract

The ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1 (ABCB1) (P-glycoprotein) transporter is a key component of the blood–brain barrier. Many antidepressants are subject to ABCB1 efflux. Functional polymorphisms of ABCB1 may influence central nervous system bioavailability of antidepressants subject to efflux. Single-nucleotide polymorphisms (SNPs) at rs1045642 (C3435T) of ABCB1 have been associated with efflux pump efficiency. This may explain part of the interindividual variation in antidepressant dose needed to remit. Individuals (N=113) with DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) major depressive disorder (MDD) were treated with escitalopram (ESC) or venlafaxine (VEN) over 8 weeks. The17-item Hamilton Depression Rating Scale was assessed serially, blind to genotype. SNP rs1045642 of ABCB1 along with two SNPs previously reported to be in linkage disequilibrium with it (rs2032582 and rs1128503) were genotyped. Demographic features, clinical features, P450 metabolizer status and 5-HTTLPR (serotonin-transporter-linked promoter region) genotype were controlled for. Carriers of rs1045642 TT needed on average 11 mg of ESC to remit, whereas TC and CC carriers required 24 and 19 mg, respectively (P=0.0001). This equates to a 2.0- (95% confidence interval=1.5–3.4; P<0.001) fold greater ESC dose needed to remit for C carriers compared with TT carriers at rs1045642. Of VEN-treated subjects carrying TT genotype at rs1045642, 73.3% remitted compared with 12.5% for CC genotype (odds ratio=6.69; 95% confidence interval=1.72–25.9, P=0.006). These data suggest that antidepressant dose needed to remit can be predicted by an ABCB1 SNP. This has the potential clinical translation implications for dose selection and remission from MDD.

Keywords: ABCB1, pharmacogenetics, antidepressant, major depression, blood–brain barrier, P-glycoprotein

Introduction

ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1 (ABCB1) was discovered during the study of chemotherapeutic resistance in hamster cancer cells. The involved permeability glycoprotein was then named the P-glycoprotein.1 Nearly a decade later, the human coding gene was identified on chromosome 7q21.12 and called the multidrug resistance 1 (MDR1) gene.2, 3 It is now known to be a member of a larger ABCB1, which is involved in multidrug resistance.4 ABCB1 has been recently shown to be evenly expressed and functionally protective across the entire human brain.5

As with many other genes, the functions of ABCB1 have been elucidated from the study of abcb1 knockout mice. Such studies demonstrate much greater entry of tracer agent into the cerebrospinal fluid (CSF).6, 7 ABCB1 is also expressed in various other tissues, such as the liver, kidney and intestine, but has greatest expression at the blood–brain barrier (BBB).4 In abcb1 knockout mice, there is an 87-fold greater tracer entry through the BBB and <4-fold greater entry at other tissue sites.8 It appears that ABCB1 has a key role in CNS bioavailability of several psychotropics.9 For example, blockage of ABCB1 by verapamil or cyclosporin A enhances the transport of impiramine across the BBB.10

The importance of ABCB1 in drug bioavailability was emphasized by using human duodenal cells that showed the TT polymorphism of the rs1045642 single-nucleotide polymorphism (SNP) reduced ABCB1 efflux.11 This is a synonymous SNP producing a codon that does not change the expressed amino acid (isoleucine). These data do not easily explain the potential mechanism by which rs1045642 polymorphism may affect ABCB1 bioactivity. It has been suggested that rs1045642 is in linkage disequilibrium (LD) with the nonsynonymous SNP rs2032582 (Ala893Thr/Ser) on ABCB1, raising the possibility that the Thr/Ser variation could be affecting protein function, with rs1045642 merely acting as a ‘tag-SNP' for it.12, 13, 14 However, many other studies suggest that rs1045642 is not in LD with rs2032582.15, 16, 17, 18, 19, 20, 21, 22, 23 Furthermore, a study of CSF/serum ratios of the anticonvulsant phenobarbitol in 60 patients found that rs1045642 and not rs2032582 influenced the CSF/serum ratio, with TT carriers at rs1045642 having a significantly higher ratio consistent with reduced ABCB1 efflux.24 Lastly, a study of 332 epileptic patients demonstrated that carriers of the TT allele at rs1045642 were more responsive to anticonvulsants, with no association found with rs2032582 polymorphism.15 This association has been replicated in a subgroup of 160 epileptic patients.16 Taken together, these data suggest that the synonymous rs1045642 SNP has functional effects on ABCB1. In a study utilizing cultured human HeLa cell lines, TT genotype at rs1045642 resulted in use of the rarer isoleucine codon (ATT rarer than ATC), altering ABCB1 conformational folding and efflux functioning.25 These data suggest that rs1045642 can affect ABCB1 functionality without changes in amino-acid sequence, and provides a mechanism explanation for the association of rs1045642 polymorphisms to ABCB1 functioning.

Studies with abcb1 knockout mice have demonstrated that citalopram, escitalopram (ESC), paroxetine, sertraline, venlafaxine (VEN), desvenlafaxine, reboxetine, doxepin, amitriptyline and trimipramine are substrates for ABCB1; however, fluoxetine, mirtazapine, bupropion and melperone are not.26, 27, 28, 29, 30, 31 Polymorphisms of the ABCB1 gene are reported to predict selective serotonin re-uptake inhibitor tolerability.32 However, no association with nortriptyline-induced postural hypotension and ABCB1 polymorphisms were shown.33 Three studies have found an association between ABCB1 polymorphisms and improvement on antidepressants subject to ABCB1 efflux.22, 30, 34 Relapse after response (≥50% reduction in 17-item Hamilton Depression Rating Scale (HDRS)) but not remission (HDRS ≤7) is common, making remission the aim in clinical care.35 The aims of this study were to investigate for associations between ABCB1 polymorphisms and antidepressant dose needed to remit in MDD. The primary hypothesis of this study was that polymorphism of rs1045642 would predict dose needed to remit from major depression, with C carriers needing significantly higher doses for remission. The secondary hypothesis was that polymorphism of rs1045642 would predict probability of remission, with TT genotype significantly more likely to remit. Finally, the influence of two ABCB1 SNPs previously described to be in LD with rs1045642 (rs2032582 and rs1128503) were also examined to determine if they were in LD with rs1045642 in this study population.

Methods

Subjects and ratings

Subjects where either of Caucasian (European, recruited from two sites in Australia) or Asian (Han Chinese, recruited from a third site in Singapore) background. Patients 18 years and over with a principal diagnosis of MDD (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria, assessed by semistructured clinical interview) were studied. An HDRS score of ≥18 was required to exclude milder cases of MDD, which may be less medication responsive.36 Patients who had treatment refractory depression (≥3 failed medication trials) were excluded as more aggressive treatments were clinically appropriate. Patients were studied prospectively for 8 weeks with HDRS ratings as the primary outcome. Clinical global impression scales for improvement and severity were used as a secondary outcome measures to guide clinical dose adjustment. Ratings were blinded to genotype. Before commencement, there was a drug washout period (five half-lives of the previous agent) for subjects already receiving an antidepressant. During the first week, all patients received a standard dose of either ESC 10 mg or VEN 75 mg per day. Drug selection was based on patient's preference of side-effect profile. At weeks 1, 4 and 8 of treatment, doses were adjusted on a clinical basis, with the dose escalated if there was no improvement on the clinical global impression scale, or the dose reduced if problematic side effects emerged (elevation of the UKU side effects scale37 with patient intolerance of the reported side effect). No other psychotropic medications were given and psychotherapy was not commenced during the study period. Genotyping of CYP2D6 and CYP2C19 polymorphisms was conducted to control for metabolized status as a potential confounder for dose needed to remit. In addition, 5-HTTLPR (serotonin-transporter-linked promoter region) genotype was assessed as a potential antidepressant efficacy confounder.38 Three ABCB1 SNPs (rs1045642, rs2032582 and rs1128503) were assayed. The study was approved by an independent research ethics committee (Study 138; The Melbourne Clinic, Richmond, VIC, Australia).

SNP analysis

DNA was extracted from each sample using QIAamp DNA Mini Kit (Qiagen, Melbourne, VIC, Australia) from venous blood or buccal brush samples. Genotype of candidate SNPs was determined by the polymerase chain reaction followed by single primer extension and analysis on a Sequenom Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (Sequenom, San Diego, CA, USA) 384-well genetic analysis system. For the large duplications and deletions of the CYP2D6 gene, as well as determining the 5-HTTLPR genotype, standard long-range polymerase chain reaction was used.

Statistical analysis

Data were analyzed using SPSS (version 19, IBM, Armonk, NY, USA). Intention-to-treat analysis was applied. Repeated-measures analysis of variance was used to determine changes in HDRS scores and antidepressant dose over time by each of three genotypes of the ABCB1 SNPs studied. Genotype-wise differences were examined using a post hoc pairwise analysis with a Bonferroni correction (P=0.017). Logistic regression was used to estimate the odds ratio and 95% confidence intervals for each ABCB1 polymorphism on symptom remission. To examine differences in dose among responders and remitters by ABCB1 genotype, χ2 analysis was performed. The CubeX program39 was applied to detect departures from Hardy–Weinberg equilibrium and estimate pairwise LD measures r2 and D′. SNPs with Hardy–Weinberg equilibrium >0.01 were considered to be in equilibrium. LD was assumed if a pair of SNPs had r2 and D′ values >0.80.

Results

Of 113 subjects screened, 107 were enrolled in the study. Two patients withdrew consent early for undetermined reasons. Seven patients disengaged before either week 4 or 8, preventing remission assessment. Thus, 98 subjects of the 107 enrolled had sufficient data to analyze response, remission, dose and genotype. In all, 57 subjects were prescribed ESC and 41 VEN.

Demographic and clinical variables (including baseline HDRS and duration of episode), CYP2D6 and CYP2C19 metabolizer status and 5-HTTLPR genotype among the three ABCB1 loci studied is displayed in Table 1. Among subjects treated with ESC, there was a significant difference in the mean duration of depressive episode between the three possible rs2032582 genotypes (Table 1). There was also a significant difference between the three possible rs1128503 genotypes and the proportion of female patients in each group (Table 1). However, there were no significant differences among these characteristics between the three rs1045642 genotype groups (Table 1). Importantly, significant ethnic differences by ABCB1 polymorphisms were not observed. Thus, we did not perform analysis stratified by ethnicity. In addition, all three ABCB1 SNPs were in Hardy–Weinberg equilibrium and pairwise LD analysis showed that all three SNPs were at independent loci (r2 and/or D′ <0.80; Table 2). Thus, haplotype analysis was not performed.

Table 1. Patient characteristics by ABCB1 genotype.

  Full sample rs1045642 (C3435T) rs2032582 (G2677T/A) rs1128503 (C1236T)
 
  
 CC
 TC
 TT
 P-value
 GG
 GT/A
 TT
 P-value
 CC
 TC
 TT
 P-value
VEN sample (n) 41 8 18 15   9 20 12   9 14 18  
  Age, mean (s.d.) 41 (13) 38 (13) 41 (13) 42 (13) 0.751 38 (15) 41 (10) 43 (14) 0.645 37 (14) 42 (12) 42 (12) 0.618
  Sex, % (n) female 63 (26) 50 (4) 72 (13) 60 (9) 0.523 44 (4) 70 (14) 67 (8) 0.402 56 (5) 71 (10) 61 (11) 0.716
  Education, % (n) tertiary 49 (20) 43 (3) 47 (8) 60 (9) 0.653 50 (4) 37 (7) 75 (9) 0.180 38 (3) 39 (5) 67 (12) 0.491
  Ethnicity, % (n) European 73 (30) 75 (6) 65 (11) 87 (13) 0.359 82 (9) 77 (27) 67 (6) 0.718 100 (9) 69 (9) 67 (12) 0.142
  Baseline HDRS, mean (s.d.) 24 (3) 23 (3) 24 (4) 24 (3) 0.816 24 (4) 24 (3) 25 (3) 0.729 23 (4) 25 (3) 24 (4) 0.341
  MDE, mean (s.d.) 38 (67) 30 (35) 50 (82) 27 (62) 0.604 21 (35) 45 (77) 38 (72) 0.696 17 (34) 39 (77) 47 (72) 0.568
 CYP2D6         0.073       0.135       0.844
  Poor metabolizer, % (n) 15 (6) 25 (2) 11 (2) 13 (2)   33 (3) 0 (0) 25 (3)   22 (2) 14 (2) 11 (2)  
  Intermediate metaboliser, % (n) 29 (12) 25 (2) 11 (2) 53 (8)   22 (2) 35 (7) 25 (3)   33 (3) 21 (3) 33 (6)  
  Extensive metaboliser, % (n) 54 (22) 50 (4) 78 (14) 27 (4)   44 (4) 65 (13) 42 (5)   44 (4) 64 (9) 50 (9)  
  Ultra metabolizer, % (n) 2 (1) 0 (0) 0 (0) 0 (0)   0 (0) 0 (0) 0 (0)   0 (0) 0 (0) 6 (1)  
                           
 CYPC19         0.429       0.831       0.846
  Poor metaboliser, % (n) 7 (3) 0 (0) 6 (1) 13 (2)   11 (1) 5 (1) 8 (1)   11 (1) 7 (1) 6 (1)  
  Intermediate metaboliser, % (n) 29 (12) 50 (4) 33 (6) 13 (2)   44 (4) 25 (5) 25 (3)   33 (3) 21 (3) 33 (6)  
  Extensive metaboliser, % (n) 61 (25) 50 (4) 61 (11) 67 (10)   44 (4) 65 (13) 67 (8)   57 (5) 64 (9) 61 (11)  
  Ultra metabolizer, % (n) 2 (1) 0 (0) 0 (0) 7 (1)   0 (0) 5 (1) 0 (0)   0 (0) 7 (1) 0 (0)  
                           
 5-HTTLPR         0.939       0.898       0.242
  Long/long, % (n) 17 (7) 25 (2) 17 (3) 13 (2)   22 (2) 15 (3) 17 (2)   33 (3) 7 (1) 17 (3)  
  Long/short, % (n) 46 (19) 38 (3) 44 (8) 53 (8)   56 (5) 45 (9) 42 (5)   44 (4) 64 (9) 33 96)  
  Short/short, % (n) 37 (15) 38 (3) 39 (7) 33 (5)   22 (2) 40 (8) 42 (5)   22 (2) 29 (40 50 (9)  
                           
ESC sample (n) 57 13 29 15   12 35 9   14 30 13  
  Age, mean (s.d.) 38 (13) 36 (14) 39 (11) 39 (16) 0.834 39 (13) 38 (13) 34 (14) 0.647 41 (16) 39 (12) 34 (12) 0.305
  Sex, % (n) female 60 (34) 54 (7) 66 (19) 53 (8) 0.655 75 (9) 54 (19) 67 (6) 0.413 86 (12) 43 (13) 69 (9) 0.021a
  Education, % (n) tertiary 58 (33) 46 (6) 59 (16) 79 (11) 0.267 64 (7) 56 (19) 75 (6) 0.806 62 (8) 62 (18) 58 (7) 0.427
  Ethnicity, % (n)  European 74 (42) 62 (8) 79 (22) 80 (12) 0.439 89 (8) 63 (12) 83 (10) 0.248 77 (10) 83 (25) 54 (7) 0.121
  Baseline HDRS, mean (s.d.) 23 (5) 24 (4) 24 (5) 21 (3) 0.073 23 (3) 23 (5) 21 (3) 0.291 25 (5) 23 (5) 22 (4) 0.285
  MDE, mean (s.d.) 43 (78) 49 (74) 46 (96) 31 (33) 0.787 104 (138) 27 (46) 24 (22) 0.008a 67 (122) 38 (68) 27 (21) 0.375
 CYP2D6b         0.709       0.381       0.533
  Poor metabolizer, % (n) 5 (3) 0 (0) 10 (3) 0 (0)   17 (2) 3 (1) 0 (0)   14 (2) 3 (1) 0 (0)  
  Intermediate metabolizer, % (n) 30 (17) 31 (4) 31 (9) 27 (4)   42 (5) 23 (8) 33 (3)   36 (5) 30 (9) 23 (3)  
  Extensive metabolizer, % (n) 60 (34) 69 (9) 52 (15) 67 (10)   33 (4) 69 (24) 67 (6)   50 (7) 57 (17) 77 (10)  
  Ultra metabolizer, % (n) 4 (2) 0 (0) 3 (1) 7 (1)   8 (1) 3 (1) 0 (0)   0 (0) 7 (2) 0 (0)  
 CYPC19         0.501       0.356       0.487
  Poor metabolizer, % (n) 5 (3) 8 (1) 3 (1) 7 (1)   0 (0) 3 (1) 11 (1)   7 (1) 3 (1) 8 (1)  
  Intermediate metabolizer, % (n) 32 (18) 46 (6) 31 (9) 20 (3)   42 (5) 29 (10) 33 (3)   43 (6) 30 (9) 23 (3)  
  Extensive metabolizer, % (n) 61 (35) 46 (6) 66 (19) 67 (10)   50 (6) 69 (24) 56 (5)   43 (6) 17 (6) 69 (9)  
  Ultra metabolizer, % (n) 2 (1) 0 (0) 0 (0) 7 (1)   8 (1) 0 (0) 0 (0)   7 (1) 0 (0) 0 (0)  
 5-HTTLPR         0.91       0.537       0.488
  Long/long, % (n) 28 (16) 23 (3) 31 (9) 27 (4)   25 (3) 29 (10) 33 (3)   36 (5) 23 (7) 31 (4)  
  Long/short, % (n) 40 (23) 46 (6) 41 (12) 33 (5)   58 (7) 40 (14) 22 (2)   36 (5) 50 (15) 23 (3)  
  Short/short, % (n) 32 (18) 31 (4) 28 (8) 40 (6)   17 (2) 31 (11) 44 (4)   29 (4) 27 (8) 46 (6)  
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Abbreviations: ABCB1, ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1; ESC, escitalopram; HDRS, 17-item Hamilton Depression Rating Scale; 5-HTTLPR, serotonin-transporter-linked promoter region; MDE, Major Depressive Episode duration; VEN, venlafaxine.

For subjects treated with ESC significant differences between baseline major depressive episodes duration and proportion of female subjects between the different rs2032582 and rs1128503 genotypes was noted.

a

Bold values denote significant difference at P=0.05 level.

b

One subject on ESC CYP2D6 genotyping assay failed.

Table 2. Linkage disequilibrium for ABCB1 SNPs.

Position dbSNP LD 1 2 3  
87 138 645 rs1045642 (C3435T) 1 — 0.62 0.39  
87 160 618 rs2032582 (G2677T/A) 2 0.31 — 0.83 D′
87 179 601 rs1128503 (C1236T) 3 0.15 0.57 —  
        r2    
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Abbreviations: ABCB1, ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1; LD, linkage disequilibrium; SNP, single-nucleotide polymorphism.

There was a Bonferroni-corrected significant finding for the TT genotype of rs1045642 to better odds of remitting (odds ratio=6.69; 95% confidence interval=1.72–25.9, P=0.006) among subjects treated with VEN but not ESC (Table 3 and Figure 1a). No association between polymorphisms of rs2032582 or rs1128503 to antidepressant remission rate was observed.

Table 3. Symptom remission by antidepressant and ABCB1 genotype.

dbSNP ID N Symptom remission (HDRS≤7) according to genotype ORa 95% CI P-value
Escitalopram
 rs1045642 (C3435T) 57 CC: 8/13 (61.5%) CT: 16/29 (55.2%) TT: 11/15 (73.3%) 1.25 0.52–3.02 0.614
 rs2032582 (G2677T/A) 57 CC: 6/12 (50.0%) CT: 22/35 (61.0%) TT: 8/10 (80.0%) 1.84 0.44–4.63 0.192
 rs1128503 (C1236T) 57 CC: 8/14 (57.1%) CT: 18/30 (60.0%) TT: 9/13 (69.2%) 1.16 0.46–2.92 0.748
               
Venlafaxine
 rs1045642 (C3435T) 41 CC: 1/8 (12.5%) CT: 11/18 (61.1%) TT: 11/15 (73.3%) 6.69 1.72–25.9 0.006b
 rs2032582 (G2677T/A) 41 CC: 4/9 (44.4%) CT: 8/20 (40.0%) TT: 10/12 (83.3%) 4.04 1.27–12.8 0.018
 rs1128503 (C1236T) 41 CC: 4/9 (44.4%) CT: 6/14 (42.9%) TT: 12/18 (66.6%) 1.92 0.77–4.80 0.165
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Abbreviations: ABCB1, ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1; CI, confidence interval; HDRS, 17-item Hamilton Depression Rating Scale; OR, odds ratio; SNP, single-nucleotide polymorphism.

a

Adjusted for ethnicity and education.

b

Significant after Bonferroni correction (P<0.017 needed).

Figure 1.

Figure 1

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Symptom remission and dose needed for remission by ABCB1 genotype. (a) A larger proportion of TT genotype carriers achieve symptom remission with venlafaxine over 8 weeks (*P=0.006). (b) TT genotype carriers required a significantly lower average dose of escitalopram compared with C allele carriers to remit (**P=0.0001). Bars represent standard error of the mean.

There was a Bonferroni-corrected significant association of the TT genotype to a lower average dose of ESC needed to remit for all three ABCB1 SNPs examined (Table 4). Carriers of rs1045642 TT needed on average 11 mg of ESC to remit, whereas TC and CC carriers required 24 and 19mg, respectively (P=0.0001). This equates to a 2.0- (95% confidence interval=1.5–3.4; P<0.001) fold greater ESC dose needed to remit for C carriers compared with TT carriers at rs1045642 (Figure 1b). At rs2032582, TT carriers needed on average 10 mg to remit and TC carriers 22 mg (P=0.008). At rs1128503, TT carriers needed on average 11 mg to remit and TC carriers 23 mg (P=0.0002).

Table 4. Average antidepressant dose (mg) among remitters by ABCB1 genotypea.

SNP N Venlafaxine N Escitalopram
rs1045642 (C3435T)
 CC 1 150 (0) 8 19 (8)
 CT 11 150 (70) 16 24 (7)
 TT 11 120 (72) 11 11 (3)
 P-value   0.639   0.0001b (TT<CT and CC)
         
rs2032582 (G2677T/A)        
 CC 4 131 (38) 6 20 (6)
 CT 8 150 (95) 21 22 (8)
 TT 10 130 (68) 7 10 (0)
 P-value   0.851   0.003b (TT<CT and CC)
         
rs1128503 (C1236T)        
 CC 4 131 (38) 8 18 (7)
 CT 6 165 (98) 18 23 (8)
 TT 12 125 (67) 9 11 (3)
 P-value   0.577   0.001b (TT<CT and CC)
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Abbreviations: ABCB1, ATP-binding cassette family of transporter proteins, subfamily B (MDR/TAP), member 1; HDRS, 17-item Hamilton Depression Rating Scale; SNP, single-nucleotide polymorphism.

a

Remission defined as an HDRS score ≤7.

b

Significant after Bonferroni correction (P<0.017 needed).

Discussion

These data demonstrate that the ABCB1 rs1045642 polymorphism predicts ESC dose needed for remission controlled for various demographic, clinical and genetic confounders. C carriers at rs1045642 needed a 2.0-fold higher dose of ESC to remit. As 69% of all subjects were C carries at rs1045642, this polymorphism represents a substantial proportion of subjects with translational implications if replicated. As rs1045642 was not in LD with rs2032582 or rs1128503, it does not appear that rs1045642 is acting as a ‘tag-SNP' to these ABCB1 SNPs, but has a direct association to VEN remission rate and ESC dose needed to remit. Similar findings for ESC dose needed to remit were made for the other two ABCB1 SNPs studied, but with the potential confounder of a significantly different mean duration of depressive episode among the rs2032582 genotypes, and a significant difference in the gender distribution among the rs1128503 genotypes. There were no such potential confounders of baseline features among the three rs1045642 genotypes analyzed for associations to antidepressant dose needed to remit.

The association of rs1045642 polymorphism to dose needed to remit on ESC was not seen for subjects treated with VEN. This may be explained by the longer process of dose titration needed for VEN compared with ESC. During the 8 weeks of the study, it was easier to escalate the dose of ESC to its maximum of 30 mg than to escalate the dose of VEN to its maximum of 450 mg due to the much smaller clinical dose range of ESC. In fact, during the 8 weeks of this study, the highest dose of VEN reached was 300 mg. Some subjects treated with VEN may have been inadvertently under-dosed, with subsequent inadequate CNS bioavailability and reduced remission rates. This may explain why the only significant finding for genotype to remission rate was for subjects treated with VEN, with those carrying the TT allele at rs1045642 showing a significantly greater remission rate. This lower ABCB1 efflux group may have greater CNS bioavailability of VEN at the lower doses reached during this 8-week study, and hence a significantly greater remission rate. Conversely, as ESC could be escalated to an adequate dose faster, C carriers could have their dose escalated to enable adequate CNS bioavailability with no significant remission rate differences between groups discernible. These findings appear to support the hypothesis that C carriers at the rs1045642 may have higher ABCB1 efflux and reduced CNS bioavailability of the antidepressants studied. Furthermore, this suggests that C carriers at rs1045642 treated with VEN could become remitters if their medication dose was escalated further. Longer follow-up could have helped answer this question by enabling greater doses of VEN to be attained.

A strength of this study was controlling for P450 metabolizer status and 5-HTTLPR genotype, both of which may impact the efficacy of antidepressants.38, 40 As serum levels of ESC and VEN will influence CNS bioavailability, not controlling for antidepressant serum levels was a limitation. Trough serum antidepressant level covariance analysis to the ABCB1 SNPs examined could be explored in future studies to help control for this factor. This study analyzed P450 metabolizer status in an attempt to address this issue. Having subject CSF samples would enable a serum to CSF ratio to be determined and correlated to ABCB1 genotype. Such studies are difficult to establish, but they would provide robust evidence of the role of ABCB1 polymorphisms to antidepressant CNS bioavailability. This study would have also benefited from a greater sample size to improve power, but by the same token clinically translatable effect sizes should emerge in moderate samples. A further limitation of this study was not controlling for early life and recent stressors as such seem to influence antidepressant responsiveness putatively by epigenetic mechanisms.41, 42

Previous positive studies demonstrating a significant association between ABCB1 polymorphisms and HDRS score reduction, response and remission22, 30, 32 reflect results akin to the VEN group finding in this study. Namely, that certain ABCB1 genotypes needed a higher dose to remit but were inadequately dosed during the study period, and thus had a significantly lower remission rate than the TT carriers at rs1045642. This study has potential clinical translation and compliments the recent understanding of how synonymous SNPs can have functional outcomes through conformational folding of ABCB1 due to rs1045642 polymorphism.

Acknowledgments

Ajeet Singh acknowledges a young investigator grant awarded by The Royal Australian and New Zealand College of Psychiatrists, Healthscope Molecular for providing the genotyping, and also thanks Dr Cameron Osborne and Professor Brian Dean, as well as Dr. Lai Huat Peh, Changi General Hospital, Singapore; and Professor Chay Hoon Tan, Department of Pharmacology, National University of Singapore.

AB Singh: Self-employed psychiatrist. Casual speaker for Astra Zeneca Australia, Lilly Australia, Pfizer Australia, Lundbeck Australia. CA Bousman: John McKenzie Post-Doctoral Fellow,The University of Melbourne. Adjunct Research Fellow, Swinburne University of Technology, Centre for Human Psychopharmacology; Research Fellow, Mental Health Research Institute; and consultant to Abbott. CH Ng: Served in the Wyeth and Eli Lilly Advisory Boards, received research grant support from Wyeth and Lundbeck and speaker honoraria from Bristol-Myers Squibb, Organon, Eli Lilly, GlaxoSmithKline, Janssen Cilag, Astra-Zenaca, Wyeth and Pfizer; K Byron: Employee of Healthscope Pathology. M Berk: Professor of Psychiatry, Deakin University, Professorial Research Fellow, Mental Health Research Institute, Orygen Research Centre and the University of Melbourne, consultant to Astra Zeneca, Bristol Meyers Squibb, Eli Lilly, GlaxoSmithKline, Janssen Cilag, Lundbeck and Servier; is on the speaker's bureau of Astra Zeneca, Bristol Meyers Squibb, Eli Lilly, GlaxoSmithKline, Janssen Cilag, Lundbeck, Pfizer, Sanofi, Synthlabo, Servier, Solvay and Wyeth; has received grant/research support from Astra Zeneca, Beyond Blue, Bristol Meyers Squibb, Eli Lilly, GlaxoSmithKline, Janssen Cilag, Lundbeck, Mayne Pharma, MBF Bioscience, National Health and Medical Research Council, Novartis, Organon, Servier and Stanley Medical Research Foundation; and has received honoraria from Astra Zeneca, Bristol Meyers Squibb, Eli Lilly, GlaxoSmithKline, Janssen Cilag, Lundbeck, Pfizer, Sanofi, Synthlabo, Servier, Solvay and Wyeth.

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