| Literature DB >> 35192152 |
Ana Casajús1, Pablo Zubiaur1,2,3, Marta Méndez1, Diana Campodónico1, Antía Gómez1, Marcos Navares-Gómez1, Gonzalo Villapalos-García1, Paula Soria-Chacartegui1, Jesús Novalbos1, Manuel Román1, Gina Mejía-Abril1,2, Dolores Ochoa1,2, Francisco Abad-Santos4,5,6.
Abstract
INTRODUCTION: Thiopurine drugs are purine nucleoside analogues used for treatment of different immune-related conditions. To date, different studies highlighted the importance of thiopurine methyltransferase (TPMT) genotyping in patients who initiate treatment with thiopurines to make an adequate dose adjustment. We aimed to investigate the influence of TPMT phenotype, concomitant treatments, and demographic characteristics on the incidence of adverse reactions (ADRs) in patients who start treatment with azathioprine (AZA).Entities:
Keywords: Adverse drug reactions; Azathioprine; Genotyping; Precision medicine; TPMT; Thiopurines
Mesh:
Substances:
Year: 2022 PMID: 35192152 PMCID: PMC8990928 DOI: 10.1007/s12325-022-02067-8
Source DB: PubMed Journal: Adv Ther ISSN: 0741-238X Impact factor: 3.845
Fig. 1Thiopurine metabolic pathway mediated by TPMT and NUDT15. AZA azathioprine, GST glutathione-S-transferase, 6-MP 6-mercaptopurine, XDH xanthine oxidase enzyme, 6TUA thiouric acid, HPRT hypoxanthine phosphoribosyltransferase, TIMP thioinosine monophosphate, TPMT thiopurine methyltransferase, MeMP methylmercaptopurine, MeTIMP methylthioinosine monophosphate, MeMPR methylmercaptopurine ribonucleotide, TGMP thioguanosine monophosphate, TGDP thioguanine nucleotide diphosphate, TGTP thioguanine nucleotide triphosphate, TdGMP thiodeoxydeoxyguanosine monophosphate, TdGDP 6-thiodeoxydeoxyguanosine bisphosphate, TdGTP 6-thiodeoxydeoxyguanosine trisphosphate
Baseline characteristics of the study population
| Total | Male | Female | ||
|---|---|---|---|---|
| 109 (100%) | 45 (41.3%) | 64 (58.7%) | ||
| Age (years) | 67.6 (18.5) | 68.1 (18.1) | 67.2 (18.9) | 0.796 |
| Weight (kg) | 71.7 (16.1) | 80.3 (11.6) | 62.5 (15.4) | 0.001 |
| Smokers | 28 (25.7%) | 14 (31.1%) | 14 (21.9%) | 0.277 |
| Cardiovascular risk factors | ||||
| Hypertension | 39 (35.8%) | 19 (42.2%) | 20 (31.3%) | 0.239 |
| Dyslipidemia | 36 (33.0%) | 14 (31.1%) | 22 (34.4%) | 0.721 |
| Diabetes | 24 (22.0%) | 12 (26.7%) | 12 (18.8%) | 0.326 |
| Petitionary medical specialties | ||||
| Dermatology | 50 (45.9%) | 24 (53.3%) | 26 (40.6%) | 0.190 |
| Rheumatology | 20 (18.3%) | 2 (4.4%) | 18 (28.1%) | 0.002 |
| Pneumology | 13 (11.9%) | 7 (15.6%) | 6 (9.4%) | 0.327 |
| Neurology | 11 (10.1%) | 4 (8.9%) | 7 (10.9%) | 0.727 |
| Gastroenterology | 7 (6.4%) | 4 (8.9%) | 3 (4.7%) | 0.378 |
| Other medical specialtiesa | 8 (7.3%) | 4 (8.9%) | 4 (6.3%) | 0.603 |
| Indications for thiopurine prescription | ||||
| Bullous pemphigoid | 30 (27.5%) | 17 (37.8%) | 13 (20.3%) | 0.044 |
| Vasculitis | 14 (12.8%) | 2 (4.4%) | 12 (18.8%) | 0.028 |
| Interstitial lung diseases | 13 (11.9%) | 7 (15.6%) | 6 (9.4%) | 0.327 |
| Myasthenia gravis | 10 (9.2%) | 5 (11.1%) | 5 (7.8%) | 0.557 |
| Atopic dermatitis | 10 (9.2%) | 5 (11.1%) | 5 (7.8%) | 0.557 |
| Dermatomyositis and polymyositis | 9 (8.3%) | 1 (2.2%) | 8 (12.5%) | 0.055 |
| Systemic lupus erythematosus | 7 (6.4%) | 1 (2.2%) | 6 (9.4%) | 0.134 |
| Inflammatory bowel disease (IBD) | 6 (5.5%) | 4 (6.3%) | 2 (4.4%) | 0.194 |
| Lichen | 6 (5.5%) | 2 (4.4%) | 4 (6.3%) | 0.684 |
| Other diseasesb | 4 (3.7%) | 1 (2.2%) | 3 (4.7%) | 0.500 |
Data are shown as mean (standard deviation) or count (%)
aOther medical specialties include emergency medicine, ophthalmology, intensive care medicine
bOther diseases include autoimmune hepatitis, erythema nodosum, and scleritis
Medication received by patients according to TPMT phenotype
| Total ( | NMs ( | IMs ( | ||
|---|---|---|---|---|
| Allopurinol | 4 (3.7%) | 4 (4.0%) | 0 (0.0%) | 0.566 |
| Salicylates | 13 (11.9%) | 12 (11.9%) | 1 (12.5%) | 0.959 |
| Corticosteroids | 80 (73.4%) | 75 (74.3%) | 5 (62.5%) | 0.469 |
| Initial AZA dose (mg) | 101.3 (45.1) | 103.2 (45.4) | 75 (32.3) | 0.111 |
| Final AZA dose (mg) | 117.6 (42.2) | 120.3 (41.3) | 78.6 (30.4) | 0.011* |
Data are shown as mean (standard deviation) or count (%)
AZA azathioprine, NM normal metabolizers, IMs intermediate metabolizers, *p < 0.05.
Fig. 2Initial vs. final AZA dose according to TPMT phenotype. NM normal metabolizers, IMs intermediate metabolizers, *p < 0.05
Incidence of adverse drug reactions according to TPMT phenotype
| Total | NMs | IMs | ||
|---|---|---|---|---|
| Hepatotoxicity | 11 (10.1%) | 10 (9.9%) | 1 (12.5%) | 0.814 |
| Gastric intolerance | 10 (9.2%) | 9 (8.9%) | 1 (12.5%) | 0.735 |
| Blood disorders | 10 (9.2%) | 9 (8.9%) | 1 (12.5%) | 0.735 |
| Leukopeniaa | 6 (5.5%) | 5 (4.6%) | 1 (12.5%) | 0.367 |
| Total | 31 (28.4%) | 28 (27.8%) | 3 (37.5%) | 0.309 |
NMs normal metabolizers, IMs intermediate metabolizers, ADRs adverse reactions
aLeukopenia is a blood disorder that was analyzed separately.
| Adverse reaction (ADR) rate in thiopurine methyltransferase (TPMT) intermediate metabolizers (IMs) was similar to that of normal metabolizers (NMs) after dose adjustments |
| In contrast, treatment duration in TPMT IMs was significantly shorter in NMs compared to NMs, which suggests that, despite showing a similar ADR rate, drug tolerability may be worse in IMs |
| Xanthine oxidase inhibitors such as allopurinol increase the risk for ADRs; therapy must be guided and adjusted accordingly if these medications are used concomitantly |
| Close monitoring of the patient is crucial to detect the appearance of early ADRs and avoid them as far as possible |