Evidence map›Paper›PMID 19799786›Full record

ArticleArthritis research & therapy2009

Plasma cytokine profiles in systemic sclerosis: associations with autoantibody subsets and clinical manifestations.

Pravitt Gourh, Frank C Arnett, Shervin Assassi, Filemon K Tan, Mei Huang, Laura Diekman, Maureen D Mayes, John D Reveille, Sandeep K Agarwal

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–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

62 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Impaired Regulation by IL-35 in Systemic Sclerosis.International journal of molecular sciences · 2023
    Article
  10. Article
  11. Review
  12. Cytokine profiling in pulmonary arterial hypertension: the role of redox homeostasis and sex.Translational research : the journal of laboratory and clinical medicine · 2022
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

9 authors.

Pravitt GourhDivision of Rheumatology and Clinical Immunogenetics, Department of Internal Medicine, University of Texas Health Science Center at Houston, 6431 Fannin M.S.B. 5.278, Houston, TX 77030, USA. Pravitt.Gourh@uth.tmc.edu
Frank C Arnett
Shervin Assassi
Filemon K Tan
Mei Huang
Laura Diekman
Maureen D Mayes
John D Reveille
Sandeep K Agarwal

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
Role of TGF-beta and CTGF Signaling Transgenic Mouse Models of SclerodermaP50AR054144 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TAN, FILEMON K. · 2006 to 2010
$7.7M
SCLERODERMA FAMILY REGISTRY AND DNA REPOSITORY-264002251-264002251-264002251N01AR002251 · NIAMS · WAYNE STATE UNIVERSITY · PI MAYES, MAUREEN · 2000 to 2006
$659k
Cadherin-11 Regulation of Fibroblast-like Synoviocytes in Synovial InflammationK08AR054404 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI AGARWAL, SANDEEP K · 2008 to 2012
$601k
NCRR NIH HHS 3UL1RR024148NIAMS NIH HHS K08 AR054404NIAMS NIH HHS K08AR054404NIAMS NIH HHS N01-AR-0-2251NIAMS NIH HHS P50 AR054144NIAMS NIH HHS P50AR054144
6 · The paper itself

Abstract

introductionSystemic sclerosis (SSc) (scleroderma) is a complex autoimmune disease that clinically manifests as progressive fibrosis of the skin and internal organs. Anti-centromere antibodies (ACAs), anti-topoisomerase antibodies (ATAs), and anti-RNA polymerase III antibodies (ARAs) are three mutually exclusive SSc-associated autoantibodies that correlate with distinct clinical subsets characterized by extent of cutaneous involvement and pattern of organ involvement. The current report sought to determine whether plasma cytokine profiles differ in SSc patients grouped according to these SSc-associated autoantibody subsets.

methodsPlasma from 444 SSc patients and 216 healthy controls was obtained from the Scleroderma Family Registry and University of Texas Rheumatology Division. Patients were classified according to the presence of ACAs, ATAs, ARAs, or none of the above (antibody-negative). Levels of 13 cytokines were determined using multiplex assays.

resultsCompared with females, healthy control males had higher plasma levels of IL-2 (P = 0.008), IL-5 (P = 0.01) and IL-8 (P = 0.01). In addition, in controls, IL-6 (P = 0.02) and IL-17 (P = 0.01) levels increased with advancing age. After adjusting for age and gender, SSc patients had higher circulating levels of TNFalpha (P < 0.0001), IL-6 (P < 0.0001), and IFNgamma (P = 0.05) and lower IL-17 (P = 0.0005) and IL-23 (P = 0.014). Additional analyses demonstrated that disease duration also influenced these cytokine profiles. IL-6 was elevated in ATA-positive and ARA-positive patients, but not in ACA-positive patients. IL-8 was uniquely increased in the ATA-positive subset while both ATA-positive and ACA-positive subsets had elevated IFNgamma and IL-10. IL-5 was only significantly increased in the ACA-positive subset. Lastly, patients with interstitial lung disease had elevated IL-6 and patients with pulmonary hypertension had elevated IL-6 and IL-13.

conclusionsPlasma cytokine profiles differ in SSc patients based on the presence of SSc-associated autoantibodies. Plasma cytokine profiles in SSc patients may also be affected by disease duration and the pattern of internal organ involvement.

Indexed as

AutoantibodiesCohort StudiesCross-Sectional StudiesCytokinesEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedScleroderma, SystemicAutoantibodiesCytokines

Identifiers

PMID19799786
PMCPMC2787259

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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.