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1117 Neutrophil extracellular traps as a biomarker to predict outcomes in lupus nephritis
  1. Laura Whittall-Garcia1,2,3,
  2. Farnoosh Naderinavi1,3,
  3. Dafna D Gladman1,2,3,
  4. Murray B Urowitz4,
  5. Zahi Touma1,2,3,
  6. Anna Konvalinka5,6,7,8,9 and
  7. Joan Wither1,2,3,10
  1. 1Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Canada
  2. 2Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Canada
  3. 3University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University Health Network, Toronto, Canada
  4. 4Professor Emeritus, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
  5. 5Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
  6. 6Department of Medicine, Division of Nephrology, University Health Network, Toronto, Canada
  7. 7Canadian Donation and Transplantation Research Program, Edmonton, Canada
  8. 8Soham and Shaila Ajmera Family Transplant Centre, University Health Network, Toronto, Canada
  9. 9Institute of Medical Science, University of Toronto, Toronto, Canada
  10. 10Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Canada

Abstract

Background Neutrophil Extracellular Traps (NETs) have been implicated in Lupus Nephritis (LN) pathogenesis. SLE neutrophils release High Mobility Group Box-1 (HMGB1) protein, in turn, HMGB1 in NETs correlates with histologic findings of Active LN (ALN). The aim was to determine if the amount of NET complexes (Elastase-DNA and HMGB1-DNA) in serum at the time of a LN flare predicts renal outcomes in the following 24 months.

Methods The study had a 2-staged approach. In an exploratory cohort composed of active SLE (clinical SLEDAI ≥ 1), inactive SLE and healthy controls (HC), we assessed the association between our in-house ELISA assays for Elastase-DNA and HMGB1-DNA complexes and ALN. A separate LN cohort was then used to determine the utility of NET complexes to predict renal outcomes over the subsequent 24 months. All patients had ALN, defined as a 24-hour urine protein >500mg with a subsequent modification in therapy by the treating physician, a baseline eGFR >30ml/min (3 months prior to the flare), stored serum sample ±3 months from the renal flare, and at least 2- years follow-up. The following outcomes were ascertained: Complete response (CR) at 12 and 24 months after flare (proteinuria <500mg/day and a serum creatinine within 15% of the baseline); severe renal impairment (eGFR≤30ml/min) at 12 and 24 months after flare; and the percentage decline in the eGFR over the 24 months after flare.

Results Ninety-two individuals were included in the exploratory cohort (49 active SLE, 23 inactive SLE and 20 HC). NET complexes were significantly higher in SLE patients compared to HC and tended to be higher in active SLE compared to inactive patients. Patients with ALN (36.7%) had significantly higher levels of NET complexes compared to active SLE without LN. Furthermore, patients with proliferative LN had higher levels of NET complexes compared to non-proliferative LN (figure 1).

The LN cohort included 109 ALN patients. The median (IQR) age was 29 (23-41) years, 84% were women, and disease duration was 6.4 (0.8-10.5) years. 37.9% were Caucasian, 22.2% Black and 17.5% Asian, the baseline eGFR was 112 (97-127) ml/min. 77.9% had a kidney biopsy at the time of the LN flare, of whom 55.9% had a proliferative or mixed class, 17.4% class V, and 4.5% class I or II. 39.4% and 50.5% of the ALN patients achieved CR at 12 and 24 months, respectively and 11% had an eGFR ≤ 30ml/min after 24 months.

Similar to the results from the exploratory cohort, proliferative LN had higher levels of NET complexes compared to non-proliferative LN patients (Elastase-DNA: 111.7 vs 25.9, p=0.0003; HMGB1-DNA: 85.2 vs 25.4, p=0.002, proliferative vs non-proliferative, respectively). Patients with higher baseline levels of NET complexes had higher odds of not achieving CR and of having severe renal impairment after 24 months of the flare. NET complexes outperformed conventional biomarkers (table 1). There was a linear relationship between the amount of baseline Elastase-DNA and HMGB1-DNA complexes and the decline in renal function in the subsequent 24 months (figure 2).

Conclusions Elastase-DNA and HMGB1-DNA complexes predicted renal outcomes, including response to therapy and decline in kidney function at 2 years after the LN flare.

Abstract 1117 Figure 1

Comparison of NET complex levels (Elastase-DNA and HMGB1-DNA) between (a) active SLE (n=49), inactive SLE (n=23) and HC (n=20); (b) ALN (n=18) and active non LN (ANLN, n=31); (c) Proliferative (n=7) and non-Proliferative LN (n=6). All graphs represent the media with IQR. Kruskal- Wallis Test was used to assess the differences in NET complex levels between Active SLE, Inactive SLE and HC and Mann-Whitney test to assess the differences between ALN and ANLN and between Proliferative and non-Proliferative LN. Units for all graphs are in UI/ml.

Abstract 1117 Table 1

Logistic Regression analysis*. Higher baseline levels of NET complexes increase the odds of non-response to therapy and severe renal impairment in the following 2 years after the LN flare (N=109)

Abstract 1117 Figure 2

Linear regression analysis showing a linear relationship between the amount of Elastase-DNA and HMGB1-DNA complexes and the decline in kidney function in the following 2 years. *Adjusted to age, sex, ethnicity and immunosuppressive therapy received in the prior 3 months

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