Publication:
Performance of cytokine models in predicting SLE activity

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Issued Date

2019

Resource Type

Article

File Type

application/pdf

ISSN

14786354

DOI

10.1186/s13075-019-2029-1

Other identifier(s)

2-s2.0-85077084700

Rights Holder(s)

Scopus

Bibliographic Citation

Arthritis Research and Therapy. Vol 21, No.1 (2019)

Suggested Citation

Ruchakorn N., Ngamjanyaporn P., Suangtamai T., Kafaksom T., Polpanumas C., Petpisit V., Pisitkun T., Pisitkun P. Performance of cytokine models in predicting SLE activity. Arthritis Research and Therapy. Vol 21, No.1 (2019). doi:10.1186/s13075-019-2029-1 Retrieved from: https://hdl.handle.net/20.500.14740/5023

Title

Performance of cytokine models in predicting SLE activity

Author(s)

Ruchakorn N.
 Ngamjanyaporn P.
 Suangtamai T.
 Kafaksom T.
 Polpanumas C.
 Petpisit V.
 Pisitkun T.
 Pisitkun P.

Abstract

Background: Identification of universal biomarkers to predict systemic lupus erythematosus (SLE) flares is challenging due to the heterogeneity of the disease. Several biomarkers have been reported. However, the data of validated biomarkers to use as a predictor for lupus flares show variation. This study aimed to identify the biomarkers that are sensitive and specific to predict lupus flares. Methods: One hundred and twenty-four SLE patients enrolled in this study and were prospectively followed up. The evaluation of disease activity achieved by the SLE disease activity index (SLEDAI-2K) and clinical SLEDAI (modified SLEDAI). Patients with active SLE were categorized into renal or non-renal flares. Serum cytokines were measured by multiplex bead-based flow cytometry. The correlation and logistic regression analysis were performed. Results: Levels of IFN-α, MCP-1, IL-6, IL-8, and IL-18 significantly increased in active SLE and correlated with clinical SLEDAI. Complement C3 showed a weakly negative relationship with IFN-α and IL-18. IL-18 showed the highest positive likelihood ratios for active SLE. Multiple logistic regression analysis showed that IL-6, IL-8, and IL-18 significantly increased odds ratio (OR) for active SLE at baseline while complement C3 and IL-18 increased OR for active SLE at 12 weeks. IL-18 and IL-6 yielded higher sensitivity and specificity than anti-dsDNA and C3 to predict active renal and active non-renal, respectively. Conclusion: The heterogeneity of SLE pathogenesis leads to different signaling mechanisms and mediates through several cytokines. The monitoring of cytokines increases the sensitivity and specificity to determine SLE disease activity. IL-18 predicts the risk of active renal SLE while IL-6 and IL-8 predict the risk of active non-renal. The sensitivity and specificity of these cytokines are higher than the anti-dsDNA or C3. We propose to use the serum level of IL-18, IL-6, and IL-8 to monitor SLE disease activity in clinical practice. © 2019 The Author(s).

Subject(s)

Alpha interferon
 Complement component C3
 Complement component C4
 Cytokine
 Double stranded DNA antibody
 Gamma interferon
 Interleukin 10
 Interleukin 12
 Interleukin 17
 Interleukin 18
 Interleukin 1beta
 Interleukin 23
 Interleukin 33
 Interleukin 6
 Interleukin 8
 Monocyte chemotactic protein 1
 Tumor necrosis factor
 Autacoid
 Biological marker
 Cytokine
 Interleukin 18
 Interleukin 6
 Interleukin 8
 Adult
 Article
 Controlled study
 Correlation analysis
 Disease activity
 Disease exacerbation
 Female
 Flow cytometry
 Follow up
 Human
 Logistic regression analysis
 Lupus erythematosus nephritis
 Major clinical study
 Male
 Multivariate logistic regression analysis
 Odds ratio
 Prediction
 Prospective study
 Protein blood level
 Sensitivity and specificity
 SLEDAI
 Systemic lupus erythematosus
 Blood
 Middle aged
 Prognosis
 Severity of illness index
 Systemic lupus erythematosus
 Young adult
 Adult
 Biomarkers
 Cytokines
 Female
 Humans
 Inflammation Mediators
 Interleukin-18
 Interleukin-6
 Interleukin-8
 Lupus Erythematosus, Systemic
 Male
 Middle Aged
 Prognosis
 Sensitivity and Specificity
 Severity of Illness Index
 Young Adult

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URI

https://hdl.handle.net/20.500.14740/5023

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Scopus: Year 1983-2021

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