TNF-α and plasma albumin as biomarkers of disease activity in systemic lupus erythematosus

• Published in: Lupus science & medicine Vol. 5; no. 1; p. e000260
• Main Authors: Idborg, Helena, Eketjäll, Susanna, Pettersson, Susanne, Gustafsson, Johanna T, Zickert, Agneta, Kvarnström, Marika, Oke, Vilija, Jakobsson, Per-Johan, Gunnarsson, Iva, Svenungsson, Elisabet
• Format: Journal Article
• Language: English
• Published: England BMJ Publishing Group LTD 01-01-2018; BMJ Publishing Group
• Series: Original research article
• Subjects: Arthritis; Biomarker Studies; Biomarkers; Chemokines; Clinical medicine; Cytokines; Hospitals; Kidney diseases; Laboratories; Lupus; Medicin och hälsovetenskap; Patients; Plasma; Questionnaires; Rheumatology; TNF inhibitors; Tumor necrosis factor-TNF; United States > US; British Isles; MIP-1beta; MCP-1; TNF-alpha; VEGF; IL-16; IL-15; IL-1alpha; IL-12; IL-23; IL-8; IP-10; MDC; Eotaxin; IL-10; IL-6; IL-7; systemic lupus erythematosus; IFN-gamma; disease activity; cytokines; MCP-4; p-albumin
• ISSN: 2053-8790; 2053-8790
• DOI: 10.1136/lupus-2018-000260

ObjectivesComposite criteria/indices are presently used to diagnose and monitor patients with systemic lupus erythematosus (SLE). Biomarkers for these purposes would be helpful in clinical practice. We therefore evaluated a large panel of cytokines and basic laboratory tests and investigated their performance as discriminators versus controls and as biomarkers of disease activity (DA).MethodsWe examined 437 patients with SLE, fulfilling American College of Rheumatology-82 criteria, and 322 matched controls. DA was assessed according to both SLE DA Index 2000 (SLEDAI-2K) and SLE Activity Measure (SLAM). British Isles Lupus Activity Group (BILAG) was used to assess renal DA. Additionally, 132 patients self-assessed their Global Disease Activity (PtGDA). Mesoscale Discovery 30-plex cytokine assay and routine blood chemistry was performed on fasting EDTA-plasma.ResultsOf 26 tested biomarkers, we identified TNF-α as the superior discriminator between patients with SLE and controls (median=4.5 pg/mL, IQR=3.1–6.2 vs median=2.3 pg/mL, IQR=2.0–2.8). The strongest correlations to SLEDAI-2K and SLAM were obtained with TNF-α (Spearman rho (ρ)=0.32 and ρ=0.34, respectively), partly driven by the nephritis subgroup, and with p-albumin (ρ=−0.33 and ρ=−0.31, respectively). P-albumin was decreased and TNF-α was increased in patients with kidney involvement (renal BILAG A/B vs C/D/E, p=4×10–16 and p=6×10–9 respectively). IP-10 was increased in patients with joint involvement (SLAM item 24≥2 vs ≤1, p=0.0005) but did not differ when comparing patients with active/inactive kidney involvement. The most powerful correlations to PtGDA was observed with p-albumin (ρ=−0.42), IL-6 (ρ=0.30) and TNF-α (ρ=0.29).ConclusionTNF-α and p-albumin both performed well as discriminators between patients with SLE and controls and as proxies for DA according to both rheumatologists’ and patients’ assessments. In particular, renal DA was well reflected by TNF-α. We propose that the TNF-α and p-albumin merit further investigations as clinically useful biomarkers in SLE. We also observed that the pattern of activated cytokines varies with organ involvement.