Evidence map›Paper›PMID 28467291›Full record

ArticleLupus2017

Clinical associations of proinflammatory cytokines, oxidative biomarkers and vitamin D levels in systemic lupus erythematosus.

R Willis, M Smikle, K DeCeulaer, Z Romay-Penabad, E Papalardo, P Jajoria, B Harper, V Murthy, M Petri, E B Gonzalez

Abstract read
In one paragraph

Article in Lupus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
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

10 authors.

R Willis1 University of Texas Medical Branch, Galveston, TX, USA.
M Smikle2 University of the West Indies, Mona Campus, Kingston, Jamaica.
K DeCeulaer2 University of the West Indies, Mona Campus, Kingston, Jamaica.
Z Romay-Penabad1 University of Texas Medical Branch, Galveston, TX, USA.
E Papalardo1 University of Texas Medical Branch, Galveston, TX, USA.
P Jajoria1 University of Texas Medical Branch, Galveston, TX, USA.
B Harper1 University of Texas Medical Branch, Galveston, TX, USA.
V Murthy1 University of Texas Medical Branch, Galveston, TX, USA.
M Petri5 John Hopkins University School of Medicine, Baltimore, MD, USA.
E B Gonzalez1 University of Texas Medical Branch, Galveston, TX, USA.

Funding

Lupus CohortR01AR043727 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 1997 to 2015
$8.2M
Hopkins Lupus CohortR01AR069572 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 2016 to 2020
$3.4M
Antiphospholipid antibodies and lupus: new molecular targets for treatmentR01AR056745 · NIAMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R., GONZALEZ, EMILIO B · 2010 to 2014
$1.6M
NIAMS NIH HHS R01 AR043727NIAMS NIH HHS R01 AR056745NIAMS NIH HHS R01 AR069572
6 · The paper itself

Abstract

Background The abnormal biological activity of cytokines plays an important role in the pathophysiology of both systemic lupus erythematosus (SLE) and antiphospholipid syndrome (APS). Several studies have highlighted the association of vitamin D and certain pro-inflammatory cytokines with disease activity in SLE. However, there are limited data on the association of vitamin D and antiphospholipid antibodies (aPL) with various proinflammatory biomarkers in these patients and their relative impact on clinical outcomes. Methods The serum levels of several aPL, 25-hydroxy-vitamin D, pro-inflammatory cytokines including IFNα, IL-1β, IL-6, IL-8, IP10, sCD40L, TNFα and VEGF were measured in 312 SLE patients from the Jamaican ( n = 45) and Hopkins ( n = 267) lupus cohorts using commercial Milliplex and ELISA assays. Oxidized LDL/β2glycoprotein antigenic complexes (oxLβ2Ag) and their associated antibodies were also measured in the Jamaican cohort. Healthy controls for oxidative marker and cytokine testing were used. Results Abnormally low vitamin D levels were present in 61.4% and 73.3% of Hopkins and Jamaican SLE patients, respectively. Median concentrations of IP10, TNFα, sCD40L and VEGF were elevated in both cohorts, oxLβ2Ag and IL-6 were elevated in the Jamaican cohort, and IFNα, IL-1β and IL-8 were the same or lower in both cohorts compared to controls. IP10 and VEGF were independent predictors of disease activity, aPL, IP10 and IL-6 were independent predictors of thrombosis and IL-8, and low vitamin D were independent predictors of pregnancy morbidity despite there being no association of vitamin D with pro-inflammatory cytokines. Conclusions Our results indicate that aPL-mediated pro-inflammatory cytokine production is likely a major mechanism of thrombus development in SLE patients. We provide presumptive evidence of the role IL-8 and hypovitaminosis D play in obstetric pathology in SLE but further studies are required to characterize the subtle complexities of vitamin D's relationship with cytokine production and disease activity in these patients.

Indexed as

Oxidative StressAdultAgedAged, 80 and overAntibodies, AntiphospholipidBiomarkersCase-Control StudiesCohort StudiesCytokinesEnzyme-Linked Immunosorbent AssayFemaleHumansInflammation MediatorsLupus Erythematosus, SystemicMaleMiddle Aged25-hydroxyvitamin DAntibodies, AntiphospholipidBiomarkersCytokinesInflammation MediatorsVitamin DAntiphospholipid syndromecytokinesoxidative biomarkerssystemic lupus erythematosusthrombosisvitamin D

Identifiers

PMID28467291
PMCPMC5493999

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.