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Erschienen in: Pediatric Rheumatology 1/2021

Open Access 01.12.2021 | Short Report

Single nucleotide polymorphisms associated with methotrexate-induced nausea in juvenile idiopathic arthritis

verfasst von: Nini Kyvsgaard, Torben Stamm Mikkelsen, Thomas D. Als, Anne Estmann Christensen, Thomas J. Corydon, Troels Herlin

Erschienen in: Pediatric Rheumatology | Ausgabe 1/2021

Abstract

Background

  • Context: Methotrexate (MTX) is a cornerstone in the treatment of juvenile idiopathic arthritis (JIA). MTX treatment is commonly associated with nausea. Large inter-individual variation exists in the level of MTX-induced nausea, possibly due to genetic factors.
  • Purpose: To investigate whether MTX-induced nausea was associated with single nucleotide polymorphisms (SNPs) in genes encoding MTX-transporter proteins, a MTX metabolizing enzyme and a nausea receptor.

Findings

  • Methods: Children aged ≥9 years treated with MTX for JIA were eligible. MTX-induced nausea was registered by the children’s completion of a nausea diary (min. 7 days) and the parents’ completion of the MTX intolerance severity score (MISS). The selected SNPs were: SLCO1B1 (rs4149056; rs4149081), SLCO1B3 (rs2117032), SLC19A1 (rs1051266), ABCC2 (rs2273697; rs3740066; rs717620), ABCB1 (rs2032582; rs1045642), MTHFR (rs1801131, rs1801133), HTR3A (rs1062613; rs1985242; rs1176713) and HTR3B (rs1176744).
  • Result: Enrolled were 121 JIA patients (82 girls: 39 boys) with a median age of 13.3 years (IQR: 11.3–15.1). The median MTX dose was 9.7 mg/m2/week (IQR: 9.0–10.9). The median MTX treatment duration prior to enrolment was 340 days (IQR: 142–766). The SNP analysis was available for 119 patients. MTX intolerance was associated with the genotype distribution of rs1801133 (MTHFR) (p = 0.02). There was no additive effect of the minor alleles for any of the selected SNPs, nor any significant haplotype associations.

Conclusion

  • Summary: MTX-induced nausea may be influenced by genetic polymorphisms in a MTX metabolizing enzyme (rs1801133; MTHFR).
  • Implications: Further analyses involving inclusion of larger cohorts are needed to understand the impact of SNPs on MTX-induced nausea in JIA.
Hinweise

Publisher’s Note

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Abkürzungen
JIA
Juvenile idiopathic arthritis
SNPs
Single nucleotide polymorphisms
MISS
Methotrexate intolerance severity score
MTX
Methotrexate
MTHFR
Methylentetrahydrofolatereductase
5-HT3
5-hydroxytryptamine type 3

Findings

Background and hypothesis

Methotrexate (MTX) continues to have a key role in the treatment of children with juvenile idiopathic arthritis (JIA) [13]. MTX treatment is commonly associated with nausea. Large inter-individual variation exists in the level of MTX-induced nausea among children with JIA. From mild discomfort to a level of MTX-induced nausea that affects health-related quality of life to such an extent that premature termination is necessary [46]. Genetic factors are thought to influence the inter-individual variation in MTX-induced nausea.
MTX is mainly excreted through the kidneys, but the drug also undergoes enterohepatic circulation [7, 8]. The level of enterohepatic circulation is thought to be associated with the level of MTX-induced gastrointestinal side effects, including nausea [9]. Single nucleotide polymorphisms (SNPs) in genes encoding MTX transporter proteins may alter the function of these transporter proteins and hence affect the enterohepatic circulation of MTX and the level of MTX-induced gastrointestinal side effects [1013] (Fig. 1).
MTX inhibits folate pathway enzymes including methylentetrahydrofolatereductase (MTHFR) [14]. This leads to an altered folate homeostasis and specifically the reduced MTHFR activity causes accumulation of homocysteine (Fig. 2), which has been hypothesized to be associated with MTX-induced gastrointestinal adverse events [15]. Specific SNPs in the gene encoding MTHFR have been shown to cause a decreased enzyme-activity [16, 17] and studies in smaller JIA cohorts have indicated that these SNPs may be associated with MTX-induced adverse effects [18, 19].
Nausea-inducing medicine can activate the 5-hydroxytryptamine type 3 (5-HT3)-receptor placed in the gastrointestinal tract and the medulla oblongata, which causes a signal to be transmitted to the emetic center in the central nervous system [20, 21] (Fig. 3). Studies have shown that SNPs in HTR3A and HTR3B encoding subunits of the 5-HT3-receptor are associated with impaired receptor function and nausea in adult cancer patients [22, 23]. Hence children with SNPs affecting the function of these genes may be more prone to experience MTX-induced nausea.
The objective for this study was to investigate whether MTX-induced nausea was associated with selected SNPs in candidate genes encoding MTX transporter proteins (SLCO1B1, SLCO1B3, SLC19A1, ABCB1, ABCC2), the MTHFR enzyme (MTHFR) and the 5-HT3-receptor (HTR3A, HTR3B), in children with JIA.

Methods

Study population

The study population was composed of children diagnosed with JIA according to the International League of Associations for Rheumatology criteria, treated with methotrexate and aged nine years or above. Children were excluded if cognitively impaired or not fluent in Danish (Fig. 4). All children were followed at our pediatric rheumatology outpatient clinics and enrolled from December 2013 until July 2016.

Phenotype

MTX-induced nausea was determined using two outcome measures previously described [24]: a Danish adaption of the methotrexate intolerance severity score (MISS) [6] and a nausea diary. The outcome measures were developed in electronic versions. The MISS was completed on the day of enrolment by the patients’ parents and they were instructed to focus on their child’s current state of MTX intolerance. The nausea diary was intended to be completed daily by the children for 28 consecutive days following enrolment. It consisted of categorically structured questions covering whether the child had experienced nausea and if so, its timely relation to MTX.
Phenotypes were established based on the two outcome measures. As defined by the MISS development paper [6], a child was categorised as MTXintolerant if the MISS total score was six or above with at least one point for an anticipatory and/or associative and/or behavioral symptom; otherwise categorised as MTXtolerant. The phenotype “MTX-nausea” was defined based on the nausea diary. It included children with a nausea diary illustrating a nausea pattern timely related to MTX administration, i.e. the child had to report a clear coherent pattern of nausea on the day of MTX administration and/or the day after; and at least have completed seven diary entries.

DNA extraction

On the day of enrolment a blood sample was drawn for the SNP analysis. DNA was extracted from EDTA blood by salt precipitation with triton lysis buffer (Tris 10 mM, MgCl2 5 mM, Triton X-100 1% and Sucrose 0.32 M), nucleus lysis buffer (NaCl 75 mM and EDTA 24 mM), saturated NaCl (6 M), isopropanol and Te-buffer (Tris-HCl 10 mM, EDTA 1 mM, pH 7.5). DNA concentration and purity was measured by a Nanodrop spectrophotometer.

SNP analysis

For the SNP analysis an amplicon with the specific SNP was created, PCR amplified and then sequenced by Sanger Sequencing. The analysis was performed at Eurofins Genomics using BigDye terminator cycle sequencing chemistry (version 3.1/3.0; Thermo Fisher Scientific), peqStar 96 HPL (PEQLAB Biotechnologie GMBH) and/or GeneTouch (Biozym Scientific GmbH) thermal cyclers, ABI3730xl capillary sequencers (Thermo Fisher Scientific) and GoTaq HotStart Green MasterMix (Promega). The quality scoring of the sequences was based on the quality value at the base-position, the peak-appearance, the overall signal intensity and quality of the sequence, the relation of forward and reverse sequence, and the identification of unspecific/artificial background signals or secondary PCR products and their subsequent signal. The quality scoring was done manually by Eurofins Genomics.

SNP selection

Within the specified candidate genes SNPs were selected based on clinical and genetic criteria. The SNPs should preferably have been proven clinically significant for gastrointestinal intolerance or toxicity, or proven phenotypically significant in animal studies. Further, they should have been studied in a relevant study population, have a reasonable minor allele frequency, a functional significance and preferably cause an amino acid change. The GTExportal.​org was used to see whether the relevant gene section is expressed in relevant tissue. SNPsnap Broad Institute was used to see whether SNPs were in linkage disequilibrium.

Statistics

All statistical analyses were performed in STATA-13, PLINK 1.9 or haplo.stats R-package. Data on demographics and MTX treatment were analysed with Wilcoxon rank-sum test, chi-squared test/Fisher’s exact test or Student’s T-test, where applicable. The associations between SNP genotypes and phenotypes were analysed with chi-squared test/Fisher’s Exact test in STATA-13. Logistic regression (PLINK 1.9) was used to analyze the additive effects of the minor alleles. The analyses were filtered for Hardy-Weinberg equilibrium and took into account whether SNPs had more than two possible alleles present in the study population. Haplotype based association tests were performed for the two phenotypes – the method implemented in the R-package haplo.stats (https://​CRAN.​R-project.​org/​package=​haplo.​stats) and described by Schaid et al. [25] was used. The method allowed missing alleles and was developed for unrelated subjects, marker-alleles with unknown phase and ambiguous haplotypes. A progressive insertion algorithm was used to compute maximum likelihood estimates of haplotype probabilities. Additive models were chosen for all datasets.

Results

The study population encompassed 121 patients. Figure 4 illustrates a flowchart of the exclusion and enrolment of patients. There was missing data for the two outcome measures due to patients or parents never completing an entry, despite having consented to participation. Due to laboratory problems at enrolment SNP data was missing for two patients.

Demographics, MTX details

Table 1 shows demographic data, details of the MTX treatment and the distribution of children within the phenotype subgroups. The nausea diary was completed at least one day by 100/121 (83%) of the children. The 77 children who had completed at least seven diary entries were included in the genetic analysis for this phenotype. A total of 8/77 (10%) of the children reported no nausea in all their diary entries.
Table 1
Demographics, methotrexate treatment and the phenotype subgroups
 
JIA
JIA patients, n
121
Girls: Boys, n
82:39
Caucasian: not Caucasian, n
117:4
Age at enrolment (years)
13.3 (11.3–15.1)
Duration of MTX treatment (days)
340 (142–766)
MTXo: MTXSC, n
45:76
MTX dose (mg/m2/week)
9.7 (9.0–10.9)
Patients with completed MISS, n
120
MISS total score (0–36)
8 (3–14)
MTXintolerant subgroup1, n
73
MTXtolerant subgroup, n
47
Patients with ≥ 7 completed diary entries, n
77
“MTX-nausea” subgroup2, n
56
Data on demographics, details of the methotrexate (MTX) treatment and the distribution of patients in the phenotype subgroups
Values are expressed as median (IQR) unless otherwise stated. MTXSC; subgroup treated with MTX subcutaneously, MTXo subgroup treated with MTX orally
1The MTXintolerant subgroup: children with a total score of the Methotrexate Intolerance Severity Score (MISS) ≥6 and at least 1 point in the anticipatory and/or associative and/or behavioral symptoms. Otherwise categorised as MTXtolerant
2The “MTX-nausea” subgroup: children with a nausea diary illustrating a nausea pattern timely related to the MTX administration
All patients were treated with folic acid supplement (5 mg) the day after MTX administration. Antiemetic medicine was prescribed for 41/121 (34%) of the children at enrolment.

SNPs in MTX transporter proteins

The selected SNPs within the candidate genes were: SLCO1B1 (rs4149056; rs4149081), SLCO1B3 (rs2117032), SLC19A1 (rs1051266), ABCC2 (rs2273697; rs3740066; rs717620), ABCB1 (rs2032582; rs1045642). No significant associations were found between the genotype distribution for these SNPs and the phenotype subgroups (Table 2), nor any significant additive effect of the minor alleles on either of the two phenotypes (MTXintolerant or “MTX-nausea”) (Table 3 and Table 4). No significant haplotype associations with either phenotype were found (Table 5 and Table 6).
Table 2
Genotypes for the selected single nucleotide polymorphisms
Gene
SNP
Ancestral Allel
Genotypes
Total, n
MTX intolerant1
MTX tolerant
p-value
MTX Nausea2
Controls
p-value
ABCC2
rs2273697
G
GG
74
44
29
χ2 = 0.05
32
14
0.81
GA
32
20
12
p = 0.98
16
5
AA
13
8
5
 
8
2
ABCC2
rs37400663
G
GG
38
23
15
0.74
19
7
1.00
GA
65
38
27
 
29
12
AA
15
10
4
 
7
2
ABCC2
rs717620
G
GG
73
47
26
0.64
35
13
1.00
GA
39
21
17
 
18
7
AA
7
4
3
 
3
1
ABCB1
rs2032582
G
GG
38
23
15
0.28
18
6
0.95
GT
58
34
24
 
27
10
GA
2
0
2
 
1
1
TA
3
3
0
 
2
1
TT
18
12
5
 
8
3
ABCB1
rs1045642
C
CC
18
9
9
χ2 = 1.34
8
4
0.82
CT
68
44
24
p = 0.51
34
11
TT
33
19
13
 
14
6
SLCO1B1
rs4149056
T
TT
84
49
34
0.86
39
15
1.00
TC
32
21
11
 
16
6
CC
3
2
1
 
1
0
SLCO1B1
rs4149081
G
GG
80
47
32
0.86
38
14
1.00
GA
36
23
13
 
17
7
AA
3
2
1
 
1
0
SLCO1B3
rs2117032
C
CC
17
12
5
χ2 = 2.16
10
4
0.63
CT
53
28
24
p = 0.34
23
6
TT
49
32
17
 
23
11
SLC19A1
rs10512663
G
GG
33
18
15
χ2 = 0.76
17
6
0.89
GA
66
42
24
p = 0.68
28
12
AA
19
11
7
 
10
3
HTR3A
rs1062613
C
CC
80
52
28
0.13
36
16
0.58
CT
37
20
16
 
19
5
TT
2
0
2
 
1
0
HTR3A
rs1985242
A
AA
7
3
4
0.23
4
1
0.34
AT
55
30
24
 
28
7
TT
57
39
18
 
24
13
HTR3A
rs1176713
C
CC
6
3
3
0.68
3
1
0.18
CT
37
21
16
 
19
3
TT
76
48
27
 
34
17
HTR3B
rs1776744
T
TT
50
30
20
0.09
24
10
0.58
TG
58
32
25
 
27
8
GG
11
10
1
 
5
3
MTHFR
rs18011313
A
AA
52
34
18
χ2 = 0.93
24
9
0.29
AC
53
30
22
p = 0.63
21
11
CC
13
7
6
 
10
1
MTHFR
rs1801133
C
CC
58
33
25
0.02
27
10
1.00
CT
51
29
21
 
24
10
TT
10
10
0
 
5
1
The genotype distribution for the selected single nucleotide polymorphisms (SNPs) – including the distribution of genotypes within the phenotype subgroups defined by the methotrexate intolerance severity score and the nausea diary
SNP; Single Nucleotide Polymorphism
1The MTXintolerant subgroup: children with a total score of the Methotrexate Intolerance Severity Score (MISS) ≥6 and at least 1 point in the anticipatory and/or associative and/or behavioral symptoms (n = 72). Otherwise categorised as MTXtolerant (n = 46)
2The “MTX-nausea” subgroup: children with a nausea diary illustrating a nausea pattern timely related to the MTX administration (n = 56). The remaining children grouped as “Controls” (n = 21)
3SNP variant not available for one child
Table 3
Single nucleotide polymorphisms in association with the phenotype “MTX intolerance”
 
Gene
SNP
Alleles, Major > minor
MTXintolerant1 Allel count
MTXtolerant Allel count
OR (95% CI)
p
Chr.
Genomic position
Consequence
Hepatic
ABCC2
rs2273697
G > A
36
22
1.05 (0.61–1.80)
0.87
10
99,804,058
Missense
Efflux
ABCC2
rs37400662
G > A
58
35
1.15 (0.64–2.07)
0.64
10
99,844,450
Missense
Transporter
ABCC2
rs717620
G > A
29
23
0.77 (0.42–1.41)
0.40
10
99,782,821
5’UTR variant
ABCB1
rs2032582
G > T
61
34
1.28 (0.73–2.24)
0.39
7
87,531,302
Missense
G > A
3
2
0.96 (0.15–5.96)
0.96
ABCB1
rs1045642
T > C
62
42
0.88 (0.49–1.57)
0.67
7
87,509,329
Synonymous
Hepatic
SLCO1B1
rs4149056
T > C
25
13
1.28 (0.62–2.66)
0.51
12
21,178,615
Missense
Influx
SLCO1B1
rs4149081
G > A
27
15
1.19 (0.59–2.43)
0.62
12
21,225,087
Intron variant
Transporter
SLCO1B3
rs2117032
T > C
52
34
0.97 (0.57–1.64)
0.90
12
20,921,188
Down stream 3’UTR
SLC19A1
rs10512662
G > A
64
38
1.20 (0.67–2.13)
0.54
21
45,537,880
Missense
Nausea
HTR3A
rs1062613
C > T
20
20
0.55 (0.27–1.14)
0.11
11
113,975,284
5’UTR variant
Receptor
HTR3A
rs1985242
T > A
36
32
0.58 (0.31–1.09)
0.09
11
113,977,551
5’UTR variant
HTR3A
rs1176713
T > C
27
22
0.74 (0.40–1.39)
0.35
11
113,989,703
Synonymous
HTR3B
rs1176744
T > G
52
27
1.36 (0.78–2.54)
0.26
11
113,932,306
Missense
MTHFR
MTHFR
rs18011312
A > C
44
34
0.77 (0.44–1.33)
0.35
1
11,794,419
Missense
Enzyme
MTHFR
rs1801133
C > T
49
21
1.77 (0.96–3.28)
0.07
1
11,796,321
Missense
The additive effect of the minor allele on parent-assessed MTX-induced nausea – the methotrexate intolerance severity score. Listed for every single nucleotide polymorphism (SNP) are the respective gene, the alleles, the relevant chromosome (Chr.), the genomic position, and the consequence of the SNP
N = 118, due to missing SNP data for two patients and MISS data for one
OR Odds Ratio
1The MTXintolerant subgroup: children with a total score of the Methotrexate Intolerance Severity Score (MISS) ≥6 and at least 1 point in the anticipatory and/or associative and/or behavioral symptoms (n = 72). Otherwise categorised as MTXtolerant (n = 46)
2SNP variant not available for one child
Table 4
Single nucleotide polymorphisms in association with the phenotype “MTX-nausea”
 
Gene
SNP
Alleles, Major > minor
MTX-nausea1 Allel count
Controls Allel count
OR (95% CI)
p
Chr.
Genomic Position
Consequence
Hepatic
ABCC2
rs2273697
G > A
32
9
1.35 (0.64–2.84)
0.44
10
99,804,058
Missense
Efflux
ABCC2
rs37400662
G > A
43
16
1.05 (0.48–2.30)
0.90
10
99,844,450
Missense
Transporter
ABCC2
rs717620
G > A
24
9
1.00 (0.43–2.34)
1.00
10
99,782,821
5’UTR variant
ABCB1
rs2032582
G > T
45
17
0.99 (0.46–2.10)
0.94
7
87,531,302
Missense
G > A
3
2
0.54 (0.08–3.47)
0.51
ABCB1
rs1045642
T > C
50
19
0.97 (0.44–2.14)
0.94
7
87,509,329
Synonymous
Hepatic
SLCO1B1
rs4149056
T > C
18
6
1.16 (0.41–3.31)
0.78
12
21,178,615
Missense
Influx
SLCO1B1
rs4149081
G > A
19
7
1.02 (0.37–2.80)
0.96
12
21,225,087
Intron variant
Transporter
SLCO1B3
rs2117032
T > C
43
14
1.20 (0.61–2.39)
0.60
12
20,921,188
Down stream 3’UTR
SLC19A1
rs10512662
G > A
48
18
1.04 (0.49–2.18)
0.93
21
45,537,880
Missense
Nausea
HTR3A
rs1062613
C > T
21
5
1.82 (0.60–5.47)
0.29
11
113,975,284
5’UTR variant
Receptor
HTR3A
rs1985242
T > A
36
9
1.85 (0.76–4.50)
0.17
11
113,977,551
5’UTR variant
HTR3A
rs1176713
T > C
25
5
2.03 (0.73–5.60)
0.17
11
113,989,703
Synonymous
HTR3B
rs1176744
T > G
37
14
0.99 (0.46–2.12)
0.97
11
113,932,306
Missense
MTHFR
MTHFR
rs18011312
A > C
41
13
1.30 (0.62–2.71)
0.49
1
11,794,419
Missense
Enzyme
MTHFR
rs1801133
C > T
34
12
1.10 (0.49–2.45)
0.82
1
11,796,321
Missense
The additive effect of the minor allele on child-assessed MTX-induced nausea – the nausea diary. Listed for every single nucleotide polymorphism (SNP) are the respective gene, the alleles, the relevant chromosome (Chr.), the genomic position, and the consequence of the SNP
N = 77, the patients who had completed at least seven diary entries
OR Odds Ratio
1The “MTX-nausea” subgroup: children with a nausea diary illustrating a nausea pattern timely related to the MTX administration (n = 56). Controls (n = 21)
2SNP variant not available for one child
Table 5
The specific haplotypes and the phenotype “MTX-intolerance”
Chr
Markers
Haplotype
F cases
F controls
Score
p-value
p-sim
1
rs1801131-rs1801133
A-C
0.348
0.402
−0.916
0.360
0.329
1
rs1801131-rs1801133
A-T
0.340
0.228
1.852
0.064
0.06
1
rs1801131-rs1801133
C-C
0.312
0.370
−0.914
0.361
0.324
1
rs1801131-rs1801133
C-T
0.000
0.000
NA
NA
NA
7
rs1045642-rs2032582
C-A
0.021
0.022
−0.048
0.962
1
7
rs1045642-rs2032582
C-G
0.401
0.435
−0.530
0.596
0.557
7
rs1045642-rs2032582
C-T
0.008
0.000
NA
NA
NA
7
rs1045642-rs2032582
T-G
0.154
0.174
−0.432
0.666
0.694
7
rs1045642-rs2032582
T-T
0.415
0.370
0.758
0.448
0.422
10
rs717620-rs2273697-rs3740066
A-A-A
0.000
0.000
NA
NA
NA
10
rs717620-rs2273697-rs3740066
A-G-A
0.201
0.250
−0.852
0.394
0.427
10
rs717620-rs2273697-rs3740066
A-G-G
0.000
NA
NA
NA
NA
10
rs717620-rs2273697-rs3740066
G-A-A
0.023
0.018
NA
NA
NA
10
rs717620-rs2273697-rs3740066
G-A-G
0.227
0.221
0.070
0.944
0.961
10
rs717620-rs2273697-rs3740066
G-G-A
0.182
0.112
1.465
0.143
0.153
10
rs717620-rs2273697-rs3740066
G-G-G
0.367
0.399
−0.466
0.641
0.639
10
rs717620-rs2273697
A-A
0.000
0.000
NA
NA
NA
10
rs717620-rs2273697
A-G
0.201
0.250
−0.852
0.394
0.36
10
rs717620-rs2273697
G-A
0.250
0.239
0.168
0.867
0.84
10
rs717620-rs2273697
G-G
0.549
0.511
0.537
0.591
0.572
10
rs2273697-rs3740066
A-A
0.021
0.017
NA
NA
NA
10
rs2273697-rs3740066
A-G
0.229
0.223
0.110
0.913
0.936
10
rs2273697-rs3740066
G-A
0.386
0.364
0.376
0.707
0.732
10
rs2273697-rs3740066
G-G
0.364
0.397
−0.526
0.599
0.587
11
rs1176744-rs1062613-rs1985242-rs1176713
G-C-A-C
0.071
0.043
0.558
0.577
0.569
11
rs1176744-rs1062613-rs1985242-rs1176713
G-C-T-T
0.029
0.008
NA
NA
NA
11
rs1176744-rs1062613-rs1985242-rs1176713
G-T-A-T
0.220
0.156
1.153
0.249
0.265
11
rs1176744-rs1062613-rs1985242-rs1176713
T-C-A-C
0.041
0.035
0.066
0.948
0.972
11
rs1176744-rs1062613-rs1985242-rs1176713
T-C-T-T
0.000
0.051
NA
NA
NA
11
rs1176744-rs1062613-rs1985242-rs1176713
T-T-A-C
0.001
NA
NA
NA
NA
11
rs1176744-rs1062613-rs1985242-rs1176713
T-T-A-T
0.029
0.063
−1.030
0.303
0.287
11
rs1176744-rs1062613-rs1985242
G-C-A
NA
0.016
NA
NA
NA
11
rs1176744-rs1062613-rs1985242
G-C-T
0.513
0.496
0.406
0.685
0.693
11
rs1176744-rs1062613-rs1985242
G-T-A
0.048
0.098
−1.430
0.153
0.153
11
rs1176744-rs1062613-rs1985242
T-C-A
0.034
0.034
−1.283
0.199
0.142
11
rs1176744-rs1062613-rs1985242
T-C-T
0.016
NA
NA
NA
NA
11
rs1176744-rs1062613-rs1985242
T-T-A
0.097
0.054
0.822
0.411
0.397
11
rs1176744-rs1062613-rs1985242
T-T-T
0.218
0.164
1.219
0.223
0.23
11
rs1062613-rs1985242-rs1176713
C-A-C
0.045
0.075
−1.052
0.293
0.276
11
rs1062613-rs1985242-rs1176713
C-A-T
0.001
NA
NA
NA
NA
11
rs1062613-rs1985242-rs1176713
C-T-T
0.030
0.077
−1.331
0.183
0.186
11
rs1062613-rs1985242-rs1176713
T-A-C
0.516
0.488
0.355
0.722
0.735
11
rs1062613-rs1985242-rs1176713
T-A-T
0.078
0.142
−1.947
0.052
0.054
11
rs1062613-rs1985242-rs1176713
T-T-T
0.015
NA
NA
NA
NA
11
rs1176744-rs1062613
G-C
0.099
0.106
−0.190
0.849
0.862
11
rs1176744-rs1062613
G-T
0.028
0.025
0.094
0.925
0.982
11
rs1176744-rs1062613
T-C
0.734
0.652
1.486
0.137
0.129
11
rs1176744-rs1062613
T-T
0.088
0.133
−1.048
0.295
0.302
11
rs1062613-rs1985242
C-A
0.034
0.084
−1.688
0.091
0.126
11
rs1062613-rs1985242
C-T
0.016
0.000
NA
NA
NA
11
rs1062613-rs1985242
T-A
0.323
0.224
1.489
0.137
0.137
11
rs1062613-rs1985242
T-T
0.038
0.070
−0.848
0.396
0.379
11
rs1985242-rs1176713
A-C
0.538
0.559
−0.078
0.937
0.953
11
rs1985242-rs1176713
A-T
0.101
0.148
−1.663
0.096
0.098
11
rs1985242-rs1176713
T-C
0.128
0.130
−0.136
0.892
0.868
11
rs1985242-rs1176713
T-T
0.734
0.652
1.488
0.137
0.126
12
rs2117032-rs4149056-rs4149081
C-C-A
0.082
0.045
0.914
0.361
0.392
12
rs2117032-rs4149056-rs4149081
C-C-G
0.000
0.000
NA
NA
NA
12
rs2117032-rs4149056-rs4149081
C-T-G
0.279
0.325
−0.596
0.551
0.554
12
rs2117032-rs4149056-rs4149081
C-T-T
0.092
0.097
0.172
0.864
0.855
12
rs2117032-rs4149056-rs4149081
T-C-A
0.014
0.022
NA
NA
NA
12
rs2117032-rs4149056-rs4149081
T-C-C
0.533
0.512
0.162
0.872
0.895
12
rs2117032-rs4149056-rs4149081
T-T-G
0.082
0.046
0.904
0.366
0.368
12
rs2117032-rs4149056
C-C
0.279
0.324
−0.593
0.553
0.566
12
rs2117032-rs4149056
C-T
0.091
0.096
0.177
0.860
0.828
12
rs2117032-rs4149056
T-C
0.547
0.535
0.039
0.969
0.984
12
rs2117032-rs4149056
T-T
0.174
0.141
0.660
0.509
0.586
12
rs4149056-rs4149081
C-A
0.014
0.022
NA
NA
NA
12
rs4149056-rs4149081
C-C
0.813
0.837
−0.490
0.624
0.681
12
rs4149056-rs4149081
C-G
0.082
0.045
0.914
0.361
0.392
12
rs4149056-rs4149081
C-T
0.000
0.000
NA
NA
NA
12
rs4149056-rs4149081
T-C
0.279
0.325
−0.596
0.551
0.554
12
rs4149056-rs4149081
T-G
0.092
0.097
0.172
0.864
0.855
12
rs4149056-rs4149081
T-T
0.014
0.022
NA
NA
NA
The haplotype-specific scores for the listed markers in association with the parent-assessed MTX-induced nausea – the methotrexate intolerance severity score
N = 118, due to missing SNP data for two patients and MISS data for one
Chr Chromosome. Markers; the SNPs in the haplotype. Haplotypes; the alleles for the SNPs in the haplotype. Cases; MTXintolerant (n = 72). Controls; MTXtolerant (n = 46). Fcases; Frequency of the haplotype among cases, Fcontrols; Frequency of the haplotype among controls. Score; the haplotype association test score for the specific haplotype. P-sim the number of times the simulated score statistics exceeds the observed divided by the total number of simulations (1000)
Table 6
The specific haplotypes and the phenotype “MTX-nausea”
Chr
Markers
Haplotype
F cases
F controls
Score
p-value
p-sim
1
rs1801131-rs1801133
A-C
0.321
0.405
−1.067
0.286
0.333
1
rs1801131-rs1801133
A-T
0.304
0.286
0.222
0.825
0.837
1
rs1801131-rs1801133
C-C
0.376
0.310
0.730
0.465
0.523
1
rs1801131-rs1801133
C-T
0.000
0.000
NA
NA
NA
7
rs1045642-rs2032582
C-A
0.027
0.048
NA
NA
NA
7
rs1045642-rs2032582
C-G
0.420
0.405
0.184
0.854
0.929
7
rs1045642-rs2032582
C-T
0.000
0.000
NA
NA
NA
7
rs1045642-rs2032582
T-G
0.152
0.143
0.144
0.886
0.917
7
rs1045642-rs2032582
T-T
0.402
0.405
−0.035
0.972
0.931
10
rs717620-rs2273697-rs3740066
A-A-A
0.000
NA
NA
NA
NA
10
rs717620-rs2273697-rs3740066
A-A-G
0.214
0.214
0.000
1.000
0.964
10
rs717620-rs2273697-rs3740066
A-G-A
0.000
NA
NA
NA
NA
10
rs717620-rs2273697-rs3740066
G-A-A
0.014
0.000
NA
NA
NA
10
rs717620-rs2273697-rs3740066
G-A-G
0.272
0.214
0.735
0.463
0.478
10
rs717620-rs2273697-rs3740066
G-G-A
0.159
0.167
−0.011
0.991
0.977
10
rs717620-rs2273697-rs3740066
G-G-G
0.341
0.405
−0.802
0.423
0.385
10
rs717620-rs2273697
A-A
0.000
0.000
NA
NA
NA
10
rs717620-rs2273697
A-G
0.214
0.214
0.000
1.000
0.94
10
rs717620-rs2273697
G-A
0.286
0.214
0.783
0.434
0.44
10
rs717620-rs2273697
G-G
0.500
0.571
−0.748
0.454
0.469
10
rs2273697-rs3740066
A-A
0.013
0.000
NA
NA
NA
10
rs2273697-rs3740066
A-G
0.273
0.214
0.706
0.480
0.534
10
rs2273697-rs3740066
G-A
0.376
0.381
−0.014
0.989
0.966
10
rs2273697-rs3740066
G-G
0.338
0.405
−0.791
0.429
0.397
11
rs1176744-rs1062613-rs1985242-rs1176713
G-C-A-C
0.070
0.035
0.589
0.556
0.552
11
rs1176744-rs1062613-rs1985242-rs1176713
G-C-T-T
0.030
NA
NA
NA
NA
11
rs1176744-rs1062613-rs1985242-rs1176713
G-T-A-T
0.144
0.288
−1.331
0.183
0.171
11
rs1176744-rs1062613-rs1985242-rs1176713
T-C-A-C
0.060
NA
1.641
0.101
0.076
11
rs1176744-rs1062613-rs1985242-rs1176713
T-C-T-T
0.026
0.010
NA
NA
NA
11
rs1176744-rs1062613-rs1985242-rs1176713
T-T-A-C
0.035
0.064
−0.373
0.709
0.78
11
rs1176744-rs1062613-rs1985242-rs1176713
T-T-A-T
0.000
0.024
NA
NA
NA
11
rs1176744-rs1062613-rs1985242
G-C-A
NA
0.000
NA
NA
NA
11
rs1176744-rs1062613-rs1985242
G-C-T
0.534
0.470
0.151
0.880
0.87
11
rs1176744-rs1062613-rs1985242
G-T-A
0.059
0.020
0.943
0.346
0.38
11
rs1176744-rs1062613-rs1985242
T-C-A
0.042
0.060
0.086
0.931
0.917
11
rs1176744-rs1062613-rs1985242
T-C-T
NA
0.0282
NA
NA
NA
11
rs1176744-rs1062613-rs1985242
T-T-A
0.098
0.034
1.044
0.297
0.281
11
rs1176744-rs1062613-rs1985242
T-T-T
0.144
0.299
−1.300
0.194
0.197
11
rs1062613-rs1985242-rs1176713
C-A-C
0.089
0.000
1.273
0.203
0.234
11
rs1062613-rs1985242-rs1176713
C-T-C
0.036
0.089
−0.798
0.425
0.455
11
rs1062613-rs1985242-rs1176713
C-T-T
0.535
0.459
0.128
0.898
0.898
11
rs1062613-rs1985242-rs1176713
T-A-C
0.099
0.091
0.893
0.372
0.4
11
rs1062613-rs1985242-rs1176713
T-A-T
NA
0.028
NA
NA
NA
11
rs1062613-rs1985242-rs1176713
T-T-T
0.104
0.099
0.184
0.854
0.864
11
rs1176744-rs1062613
G-C
0.030
0.025
NA
NA
NA
11
rs1176744-rs1062613
G-T
NA
0.000
NA
NA
NA
11
rs1176744-rs1062613
T-C
0.679
0.757
−1.075
0.282
0.255
11
rs1176744-rs1062613
T-T
0.119
0.020
1.760
0.078
0.09
11
rs1062613-rs1985242
C-A
0.068
0.070
−0.053
0.958
0.997
11
rs1062613-rs1985242
C-T
0.000
0.028
NA
NA
NA
11
rs1062613-rs1985242
T-A
0.252
0.333
−0.579
0.563
0.564
11
rs1062613-rs1985242
T-T
0.078
0.000
1.293
0.196
0.162
11
rs1985242-rs1176713
A-C
0.560
0.548
−0.264
0.792
0.802
11
rs1985242-rs1176713
A-T
0.109
0.119
0.494
0.621
0.592
11
rs1985242-rs1176713
T-C
0.134
0.124
0.256
0.798
0.826
11
rs1985242-rs1176713
T-T
0.679
0.757
−1.072
0.284
0.241
12
rs2117032-rs4149056-rs4149081
C-C-A
0.105
0.000
1.143
0.253
0.26
12
rs2117032-rs4149056-rs4149081
C-C-G
0.279
0.333
0.009
0.993
0.978
12
rs2117032-rs4149056-rs4149081
C-T-G
0.056
0.143
−0.827
0.408
0.419
12
rs2117032-rs4149056-rs4149081
T-C-A
0.009
0.024
NA
NA
NA
12
rs2117032-rs4149056-rs4149081
T-T-G
0.551
0.500
−0.041
0.968
0.968
12
rs2117032-rs4149056
C-C
0.105
0.000
1.135
0.256
0.257
12
rs2117032-rs4149056
C-T
0.279
0.333
0.011
0.991
0.96
12
rs2117032-rs4149056
T-C
0.056
0.143
−0.824
0.410
0.5
12
rs2117032-rs4149056
T-T
0.560
0.524
−0.200
0.841
0.843
12
rs4149056-rs4149081
C-A
0.161
0.143
0.285
0.776
0.617
12
rs4149056-rs4149081
C-G
0.009
0.024
NA
NA
NA
12
rs4149056-rs4149081
T-G
0.830
0.833
−0.047
0.963
0.869
The haplotype-specific scores for the listed markers in association with the child-assessed MTX-induced nausea – the nausea diary
N = 77, the patients who had completed at least seven diary entries
Chr; Chromosome. Markers; the SNPs in the haplotype. Haplotypes; the alleles for the SNPs in the haplotype. Cases; MTXnausea (n = 56). Controls (n = 21). Fcases; Frequency of the haplotype among cases, Fcontrols, Frequency of the haplotype among controls. Score; the haplotype association test score for the specific haplotype. P-sim; the number of times the simulated score statistics exceeds the observed divided by the total number of simulations (1000)

SNPs in the MTHFR enzyme

The selected SNPs were rs1801131 and rs1801133. There was a significant association between the genotype distribution for rs1801133 and the parent-assessed phenotype (the MISS) (p = 0.02); but not for the child-reported phenotype (the nausea diary) (Table 2). There was no significant additive effect of the minor alleles on either phenotype for the two SNPs (Table 3 and Table 4), or any significant haplotype associations (Table 5 and Table 6).

SNPs in the 5-HT3-receptor

The selected SNPs within the candidate genes were: HTR3A (rs1062613; rs1985242; rs1176713) and HTR3B (rs1176744). No significant associations were found between the genotype distribution and the phenotype subgroups (Table 2). None of these SNPs were significantly associated with the two phenotypes (“MTX-nausea” or MTXintolerant) with regard to an additive effect of the minor alleles (Table 3 and Table 4). No significant haplotype associations with either phenotype were found (Table 5 and Table 6).

Conclusion

MTX-induced nausea may be influenced by SNPs in the MTHFR enzyme (rs1801133). Our data does not support an association between MTX-induced nausea and the remaining selected SNPs in genes encoding MTX-transporter proteins or the 5-HT3 nausea receptor.

Acknowledgements

Acknowledgements to Jane Hvarregaard Christensen for her contribution to the study through her genetic expertise; acknowledgements to Jane H. Knudsen and Tina Hindkjær for their contribution to the study through their laboratory work.

Declarations

The study was conducted in accordance with the declaration of Helsinki. All participating families provided written informed consent prior to enrolment and the Central Denmark Region’s research ethics committee approved the study (M-20110160). The study was observational and registered on clinicaltrials.​gov (NCT02528435).
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Giannini EH, Brewer EJ, Kuzmina N, Shaikov A, Maximov A, Vorontsov I, et al. Methotrexate in resistant juvenile rheumatoid arthritis. Results of the U.S.a.-U.S.S.R. double-blind, placebo-controlled trial. The pediatric rheumatology collaborative study group and the cooperative Children's study group. N Engl J Med. 1992;326(16):1043–9. https://doi.org/10.1056/NEJM199204163261602. Giannini EH, Brewer EJ, Kuzmina N, Shaikov A, Maximov A, Vorontsov I, et al. Methotrexate in resistant juvenile rheumatoid arthritis. Results of the U.S.a.-U.S.S.R. double-blind, placebo-controlled trial. The pediatric rheumatology collaborative study group and the cooperative Children's study group. N Engl J Med. 1992;326(16):1043–9. https://​doi.​org/​10.​1056/​NEJM199204163261​602.
2.
Zurück zum Zitat Beukelman T, Patkar NM, Saag KG, Tolleson-Rinehart S, Cron RQ, DeWitt EM, et al. 2011 American College of Rheumatology recommendations for the treatment of juvenile idiopathic arthritis: initiation and safety monitoring of therapeutic agents for the treatment of arthritis and systemic features. Arthritis Care Res (Hoboken). 2011;63(4):465–82. https://doi.org/10.1002/acr.20460.CrossRef Beukelman T, Patkar NM, Saag KG, Tolleson-Rinehart S, Cron RQ, DeWitt EM, et al. 2011 American College of Rheumatology recommendations for the treatment of juvenile idiopathic arthritis: initiation and safety monitoring of therapeutic agents for the treatment of arthritis and systemic features. Arthritis Care Res (Hoboken). 2011;63(4):465–82. https://​doi.​org/​10.​1002/​acr.​20460.CrossRef
3.
Zurück zum Zitat Ruperto N, Murray KJ, Gerloni V, Wulffraat N, de Oliveira SK, Falcini F, et al. A randomized trial of parenteral methotrexate comparing an intermediate dose with a higher dose in children with juvenile idiopathic arthritis who failed to respond to standard doses of methotrexate. Arthritis Rheum. 2004;50(7):2191–201. https://doi.org/10.1002/art.20288.CrossRefPubMed Ruperto N, Murray KJ, Gerloni V, Wulffraat N, de Oliveira SK, Falcini F, et al. A randomized trial of parenteral methotrexate comparing an intermediate dose with a higher dose in children with juvenile idiopathic arthritis who failed to respond to standard doses of methotrexate. Arthritis Rheum. 2004;50(7):2191–201. https://​doi.​org/​10.​1002/​art.​20288.CrossRefPubMed
4.
Zurück zum Zitat Brunner HI, Johnson AL, Barron AC, Passo MH, Griffin TA, Graham TB, et al. Gastrointestinal symptoms and their association with health-related quality of life of children with juvenile rheumatoid arthritis: validation of a gastrointestinal symptom questionnaire. J Clin Rheumatol. 2005;11(4):194–204. https://doi.org/10.1097/01.rhu.0000173616.81928.44. Brunner HI, Johnson AL, Barron AC, Passo MH, Griffin TA, Graham TB, et al. Gastrointestinal symptoms and their association with health-related quality of life of children with juvenile rheumatoid arthritis: validation of a gastrointestinal symptom questionnaire. J Clin Rheumatol. 2005;11(4):194–204. https://​doi.​org/​10.​1097/​01.​rhu.​0000173616.​81928.​44.
6.
Zurück zum Zitat Bulatovic M, Heijstek MW, Verkaaik M, van Dijkhuizen EH, Armbrust W, Hoppenreijs EP, et al. High prevalence of methotrexate intolerance in juvenile idiopathic arthritis: development and validation of a methotrexate intolerance severity score. Arthritis Rheum. 2011;63(7):2007–13. https://doi.org/10.1002/art.30367.CrossRefPubMed Bulatovic M, Heijstek MW, Verkaaik M, van Dijkhuizen EH, Armbrust W, Hoppenreijs EP, et al. High prevalence of methotrexate intolerance in juvenile idiopathic arthritis: development and validation of a methotrexate intolerance severity score. Arthritis Rheum. 2011;63(7):2007–13. https://​doi.​org/​10.​1002/​art.​30367.CrossRefPubMed
9.
Zurück zum Zitat Kato Y, Suzuki H, Sugiyama Y. Toxicological implications of hepatobiliary transporters. Toxicology. 2002;181–182:287–90.CrossRef Kato Y, Suzuki H, Sugiyama Y. Toxicological implications of hepatobiliary transporters. Toxicology. 2002;181–182:287–90.CrossRef
17.
18.
Zurück zum Zitat Schmeling H, Biber D, Heins S, Horneff G. Influence of methylenetetrahydrofolate reductase polymorphisms on efficacy and toxicity of methotrexate in patients with juvenile idiopathic arthritis. J Rheumatol. 2005;32(9):1832–6.PubMed Schmeling H, Biber D, Heins S, Horneff G. Influence of methylenetetrahydrofolate reductase polymorphisms on efficacy and toxicity of methotrexate in patients with juvenile idiopathic arthritis. J Rheumatol. 2005;32(9):1832–6.PubMed
19.
Zurück zum Zitat Tukova J, Chladek J, Hroch M, Nemcova D, Hoza J, Dolezalova P. 677TT genotype is associated with elevated risk of methotrexate (MTX) toxicity in juvenile idiopathic arthritis: treatment outcome, erythrocyte concentrations of MTX and folates, and MTHFR polymorphisms. J Rheumatol. 2010;37(10):2180–6. https://doi.org/10.3899/jrheum.091427.CrossRefPubMed Tukova J, Chladek J, Hroch M, Nemcova D, Hoza J, Dolezalova P. 677TT genotype is associated with elevated risk of methotrexate (MTX) toxicity in juvenile idiopathic arthritis: treatment outcome, erythrocyte concentrations of MTX and folates, and MTHFR polymorphisms. J Rheumatol. 2010;37(10):2180–6. https://​doi.​org/​10.​3899/​jrheum.​091427.CrossRefPubMed
21.
Zurück zum Zitat Wood GJ, Shega JW, Lynch B, Von Roenn JH. Management of intractable nausea and vomiting in patients at the end of life: "I was feeling nauseous all of the time . . . nothing was working". JAMA. 2007;298(10):1196–1207, Management of Intractable Nausea and Vomiting in Patients at the End of Life, DOI: https://doi.org/10.1001/jama.298.10.1196. Wood GJ, Shega JW, Lynch B, Von Roenn JH. Management of intractable nausea and vomiting in patients at the end of life: "I was feeling nauseous all of the time . . . nothing was working". JAMA. 2007;298(10):1196–1207, Management of Intractable Nausea and Vomiting in Patients at the End of Life, DOI: https://​doi.​org/​10.​1001/​jama.​298.​10.​1196.
Metadaten
Titel
Single nucleotide polymorphisms associated with methotrexate-induced nausea in juvenile idiopathic arthritis
verfasst von
Nini Kyvsgaard
Torben Stamm Mikkelsen
Thomas D. Als
Anne Estmann Christensen
Thomas J. Corydon
Troels Herlin
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
Pediatric Rheumatology / Ausgabe 1/2021
Elektronische ISSN: 1546-0096
DOI
https://doi.org/10.1186/s12969-021-00539-9

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