ArticleEuropean journal of clinical pharmacology2017
Pharmacogenetic markers to predict the clinical response to methotrexate in south Indian Tamil patients with psoriasis.
Article in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 36 citations in OpenAlex.
- Inflammatory Biomarkers for Assessing Treatment Response in Psoriasis: A Narrative Review.International journal of molecular sciences · 2026Review
- Association of genetic variations in FoxP3 gene with Graves' disease in a Southwest Chinese Han population.Immunity, inflammation and disease · 2023Article
- Article
- Genetic Influence on Treatment Response in Psoriasis: New Insights into Personalized Medicine.International journal of molecular sciences · 2023Review
- Psoriatic Arthritis: Development, Detection and Prevention: A Scoping Review.Journal of clinical medicine · 2023Article
- Pharmacogenomics on the Treatment Response in Patients with Psoriasis: An Updated Review.International journal of molecular sciences · 2023Review
- Pharmaco-Omics in Psoriasis: Paving the Way towards Personalized Medicine.International journal of molecular sciences · 2023Review
- HLA-C Genotyping Reveals Haplotype C*07 as a Potential Biomarker of Late Psoriasis Onset in Moroccan Patients.Current issues in molecular biology · 2023Article
- Biomarkers of systemic treatment response in people with psoriasis: a scoping review.The British journal of dermatology · 2022Article
- Associations between HLA-Cw1 and Systemic Treatment Response of Asian Psoriasis Patients.Molecular diagnosis & therapy · 2022Article
- Correlation of HLA-Cw6 Positivity with Clinical Characteristics and Treatment Efficacy in Korean Patients with Psoriasis.Annals of dermatology · 2022Article
- Dermatology: how to manage psoriasis and recognize differences in pathophysiology and presentation in patients with skin of colour.Drugs in context · 2022Review
- Psoriasis Patients with Specific HLA-Cw Alleles and Lower Plasma IL-17 Level Show Improved Response to Topical Lindioil Treatment.Pharmacogenomics and personalized medicine · 2022Article
- Towards Personalized Medicine in Psoriasis: Current Progress.Psoriasis (Auckland, N.Z.) · 2022Review
- HLA-Cw1 and Psoriasis.American journal of clinical dermatology · 2021Review
- A Review of Clinical Applications and Side Effects of Methotrexate in Ophthalmology.Journal of ophthalmology · 2020Review
- Limited clinical utility of HLA-Cw6 genotyping for outcome prediction in psoriasis patients under ustekinumab therapy: a monocentric, retrospective analysis.Psoriasis (Auckland, N.Z.) · 2017Article
- Mapping the psoriasis research landscape: A comprehensive bibliometric analysis from 2012-2023.International journal of immunopathology and pharmacologyArticle
- HLA-Cw6 Status and Treatment Responses Between Psoriasis Patients.Indian journal of dermatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDespite the advent of several new systemic therapies, methotrexate remains the gold standard for the treatment of moderate to severe psoriasis. However, there exists a significant heterogeneity in individual response to methotrexate. There are no consistently reliable markers to predict methotrexate treatment response till date.
objectivesWe aimed to demonstrate the association of certain genetic variants in the HLA (HLA-A2, HLA-B17, and HLA-Cw6) and the non-HLA genes including T-helper (Th)-1, Th-2, Th-17 cytokine genes (IFN-γ, IL-2, IL-4, IL-10, IL-12B, and IL-23R), and T-regulatory gene (FOXP3) with the methotrexate treatment response in South Indian Tamil patients with psoriasis.
methodsOf the 360 patients recruited, 189 patients with moderate to severe psoriasis were treated with methotrexate. Of the 189 patients, 132 patients responded to methotrexate and the remaining 57 patients were non-responders. We analyzed the association of aforesaid polymorphisms with the methotrexate treatment outcome using binary logistic regression.
resultsWe observed that there were significant differences between genotype frequencies of HLA-Cw6 and FOXP3 (rs3761548) among the responders compared to non-responders, with conservative estimation. We observed that pro-inflammatory cytokines such as IFN-γ, IL-2, IL-12, and IL-23 were markedly reduced with the use of methotrexate, in comparison to the baseline levels, while the plasma IL-4 levels were increased posttreatment.
conclusionOur results serve as preliminary evidence for the clinical use of genetic markers as predictors of response to methotrexate in psoriasis. This might aid in the future in the development of a point-of-care testing (POCT) gene chip, to predict optimal treatment response in patients with psoriasis, based on their individual genotypic profile.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.