Evidence map›Paper›PMID 16507146›Full record

ArticleArthritis research & therapy2006

Cytokine polymorphisms influence treatment outcomes in SLE patients treated with antimalarial drugs.

Patricia López, Jesús Gómez, Lourdes Mozo, Carmen Gutiérrez, Ana Suárez

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Hydroxychloroquine in systemic lupus erythematosus: overview of current knowledge.Therapeutic advances in musculoskeletal disease · 2022
    Review
  2. Review
  3. Mechanism of Action and Efficacy of Immunosupressors in Lupus Nephritis.International journal of nephrology and renovascular disease · 2021
    Review
  4. Review
  5. Cytokine profile in childhood-onset systemic lupus erythematosus: a cross-sectional and longitudinal study.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. IL-10 and TNFalpha genotypes in SLE.Journal of biomedicine & biotechnology · 2010
    Review
  14. Developments in lupus 2006.Arthritis research & therapy · 2007
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Patricia LópezDepartment of Functional Biology, Area of Immunology, University of Oviedo, Spain.
Jesús Gómez
Lourdes Mozo
Carmen Gutiérrez
Ana Suárez
Universidad de Oviedo · ESHospital Universitario Central de Asturias · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimalarial agents have been widely used as disease-modifying antirheumatic drugs in the treatment of systemic lupus erythematosus (SLE) and other rheumatological diseases, although their mechanism of action has not yet been fully defined. It is known, however, that effective response to treatment is variable among patients. Thus, the identification of genetic predictors of treatment response would provide valuable information for therapeutic intervention. The aim of the present study was to analyze the effect of antimalarial treatment on tumor necrosis factor (TNF)alpha serum levels and evaluate the possible influence of TNFalpha and IL-10 functional genetic polymorphisms on the response to antimalarial drugs. To this end, TNFalpha serum levels were quantified in 171 SLE patients and 215 healthy controls by ELISA techniques and polymorphisms at positions -1,082 and -308 of the IL-10 and TNFalpha gene promoters were determined by PCR amplification followed by hybridization with fluorescent-labeled allele-specific probes in 192 SLE patients and 343 matched controls. Data were related to clinical features and treatment at the time of sampling and during the course of the disease. Results showed a significantly higher amount of serum TNFalpha in the entire SLE population compared with controls. However, TNFalpha serum levels correlated negatively with the use of antimalarial treatment during at least three months before sampling. Patients under single or combined treatment with these drugs had TNFalpha serum levels similar to healthy controls, whereas untreated patients and those under corticosteroid or immunosuppressive therapies had increased amounts of this cytokine. This suggests, however, that antimalarial-mediated inhibition of TNFalpha was only significant in patients who were genetically high TNFalpha or low IL-10 producers. In addition, evaluation of SLE patients administered antimalarial drugs for three or more years who did not require any other specific SLE treatment indicates that patients with the combined genotype low IL-10/high TNFalpha are the best responders to antimalarial therapy, developing mild disease with a good course under this treatment. In conclusion, we proposed that an antimalarial-mediated downregulation of TNFalpha levels in SLE patients is influenced by polymorphisms at IL-10 and TNFalpha promoters. Our results may thus find important clinical application through the identification of patients who are the most likely to benefit from antimalarial therapy.

Indexed as

Polymorphism, GeneticAdultAgedAntimalarialsCase-Control StudiesDrug Therapy, CombinationFemaleGenotypeHumansInterleukin-10Lupus Erythematosus, SystemicMaleMiddle AgedPolymorphism, Single NucleotideTreatment OutcomeTumor Necrosis Factor-alphaAntimalarialsInterleukin-10Tumor Necrosis Factor-alpha

Identifiers

PMID16507146
PMCPMC1526590
OpenAlexW1567931242

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.