2012
DOI: 10.1136/annrheumdis-2011-200942
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Prediction of clinical non-response to methotrexate treatment in juvenile idiopathic arthritis

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Cited by 64 publications
(53 citation statements)
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“…However, both pharmacokinetics and pharmacodynamics are also strongly influenced by interactions with concomitant medications, renal function or patient's age [39]. A better knowledge of these pharmacokinetic and pharmacogenetic variations might be useful to tailor the dose for each patient and predict the response in patients receiving MTX [14,66]. However, a careful evaluation of the concomitant medications, age, renal and hepatic function, cognitive status and comorbidities should be performed to prevent adverse events related with the administration of MTX.…”
Section: Clinical Efficacymentioning
confidence: 99%
“…However, both pharmacokinetics and pharmacodynamics are also strongly influenced by interactions with concomitant medications, renal function or patient's age [39]. A better knowledge of these pharmacokinetic and pharmacogenetic variations might be useful to tailor the dose for each patient and predict the response in patients receiving MTX [14,66]. However, a careful evaluation of the concomitant medications, age, renal and hepatic function, cognitive status and comorbidities should be performed to prevent adverse events related with the administration of MTX.…”
Section: Clinical Efficacymentioning
confidence: 99%
“…Maja Bulatovic et al[43] developed a prediction model comprising genetic and clinical variables to identify JIA patients not responding to methotrexate. Here, MDR1 3435C>T was associated with a higher probability of good clinical response to methotrexate.…”
mentioning
confidence: 99%
“…With the use of a personalized-medicine approach, genetic variations (SNPs) and metabolites (folate, MTX-polyglutamates) within the MTX pathway (one-carbon fingerprint) were analyzed to predict the outcome of MTX treatment in RA. Beyond clinical parameters (body mass index, smoking) and baseline disease severity, genetic factors that were associated with unresponsiveness to MTX included SNPs in the efflux transporters ABCB1 (rs1045642 G > A) and ABCC3 (rs4793665 T > C), and methionine synthesis (MTRR, rs1801394 A > G) [90,91]. Furthermore, low baseline erythrocyte folate and erythrocyte MTX-polyglutamate levels after 3 months of treatment were predictive for a decreased MTX response [92].…”
Section: Antifolates In Immune Diseasesmentioning
confidence: 99%