Synergism interaction between genetic polymorphisms in drug metabolizing enzymes and NSAIDs on upper gastrointestinal haemorrhage

Interindividual genetic variations contribute to differences in patients' response to drugs as well as to the development of certain disorders. Patients who use non-steroidal anti-inflammatory drugs (NSAIDs) may develop serious gastrointestinal disorders, mainly upper gastrointestinal haemorrha...

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Detalles Bibliográficos
Autores: Mallah, Narmeen, Zapata-Cachafeiro, Maruxa, Aguirre, Carmelo, Ibarra-García, Eguzkiñe, Palacios-Zabalza, Itziar, Macías-García, Fernando, Piñeiro-Lamas, María, Ibáñez, Luisa|||0000-0002-1175-0574, Vidal Guitart, Xavier|||0000-0001-6705-4298, Vendrell Bosch, Lourdes, Martin-Arias, Luis, Sáinz-Gil, María, Velasco-González, Verónica|||0000-0003-4739-9760, Bacariza-Cortiñas, Manuel, Salgado, Angel, Estany-Gestal, Ana, Figueiras, Adolfo
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:254986
Acceso en línea:https://ddd.uab.cat/record/254986
https://dx.doi.org/urn:doi:10.1080/07853890.2021.2016940
Access Level:acceso abierto
Palabra clave:Aspirin
Genetic variation
Interaction
Non-steroidal anti-inflammatory drugs
Upper gastrointestinal haemorrhage
Descripción
Sumario:Interindividual genetic variations contribute to differences in patients' response to drugs as well as to the development of certain disorders. Patients who use non-steroidal anti-inflammatory drugs (NSAIDs) may develop serious gastrointestinal disorders, mainly upper gastrointestinal haemorrhage (UGIH). Studies about the interaction between NSAIDs and genetic variations on the risk of UGIH are scarce. Therefore, we investigated the effect of 16 single nucleotide polymorphisms (SNPs) involved in drug metabolism on the risk of NSAIDs-induced UGIH. We conducted a multicenter case-control study of 326 cases and 748 controls. Participants were sub-grouped into four categories according to NSAID exposure and genetic profile. We estimated odds ratios (ORs) and their 95% confidence intervals (CI) using generalized linear mixed models for dependent binomial variables and then calculated the measures of interaction, synergism index (S), and relative excess risk due to interaction (RERI). We undertook stratified analyses by the type of NSAID (aspirin, non-aspirin). We observed an excess risk of UGIH due to an interaction between any NSAID, non-aspirin NSAIDs or aspirin and carrying certain SNPs. The greatest excess risk was observed for carriers of: rs2180314:C>G [any NSAID: S = 3.30 (95%CI: 1.24-8.80), RERI = 4.39 (95%CI: 0.70-8.07); non-aspirin NSAIDs: S = 3.42 (95%CI: 1.12-10.47), RERI = 3.97 (95%CI: 0.44-7.50)], and rs4809957:A>G [any NSAID: S = 2.11 (95%CI: 0.90-4.97), RERI = 3.46 (95%CI: −0.40-7.31)]. Aspirin use by carriers of rs6664:C>T is also associated with increased risk of UGIH [OR: 2.22 (95%CI: 0.69-7.17) vs. OR: 7.72 (95%CI: 2.75-21.68)], yet larger sample size is needed to confirm this observation. The joint effect of the SNPs s2180314:C>G and rs4809957:A>G and NSAIDs are more than three times higher than the sum of their individual effects. Personalized prescriptions based on genotyping would permit a better weighing of risks and benefits from NSAID consumption