Urinary Neutrophil Gelatinase-Associated Lipocalin and Urinary Soluble CXCL16 as Biomarkers of Activity in Pediatric Lupus Nephritis

Introduction

Lupus nephritis (LN) is considered the most serious manifestation of systemic lupus erythematosus (SLE) and can be present in 60% of SLE patients.[1] Kidney biopsy is usually done in patients with abnormal urinary findings, e.g., sediment, proteinuria, or elevated serum creatinine. These markers do not always correlate with histopathological diagnosis. Kidney involvement is known to precede the appearance of proteinuria, elevation of serum creatinine, or abnormal urine sediment leading to a delay in the management of LN, its flares and assessment of response to therapy, thus leading to more morbidity and mortality.[2] Reliable biomarkers may help in the evaluation of disease activity, identify patients at risk for organ damage or recurrent flares, and facilitate early and accurate evaluation of responses to treatment.[2]

Neutrophil gelatinase-associated lipocalin (NGAL)[3] was identified as one of the earliest and most robustly induced genes and proteins in the kidney after ischemic or nephrotoxic injury and was easily detected in the urine and blood soon after acute kidney injury.[34] Urinary NGAL (uNGAL) was proven as an excellent biomarker of concurrent LN activity. In spite of the fact that NGAL can go up in any renal injury and may not be specific for SLE nephritis, this promising biological marker can point to acute kidney injury in patients with SLE.[4]

Serum soluble chemokine (C-X-C motif) ligand 16 (CXCL16) was recently reported to be selectively upregulated in a wide range of tissues in response to damage, especially in kidney[5] CXCL16 has been documented to be increased within the kidneys, sera, and urine of SLE patients and seems to correlate with disease activity, although their clinical utility in predicting disease activity in LN remains unclear.[5]

We aimed in this research to measure uNGAL and CXCL16 levels in children and adolescents with SLE and investigate whether they were elevated in active SLE patients and to verify their role in the diagnosis of LN.

Methods

Results

The demographical and laboratory data of the studied groups are summarized in Table 1. The total number of the SLE patients was 80:70 females (87.50%) and 10 males, F:M ratio (7:1). Their age had a mean of 12.07 ± 3.35 years. A total of 60 apparently healthy individuals were carefully chosen, matched for age and sex with the SLE patients. They were 52 female (86.67%) and 8 male, F:M ratio (6.5:1). Their mean age was 12.32 ± 3.23 years, with no significant differences between the patients and controls. SLEDAI score has been used in our study as a predictor of disease activity. The median of global SLEDAI score was 26.8, rSLEDAI was 10.3, and extra-rSLEDAI was 16.8. Renal biopsies at initial diagnosis evaluated according to the ISN LN grading system as shown in Table 2, ISN Classes I (50%) and III (35%) were the most common findings.

Table 1 Demographic and laboratory data of the studied patients and controls Parameters Patients Controls

Table 2 Renal biopsy results in patients

The mean concentrations of uNGAL (8.9 ± 3.56 ng/dl) and urinary CXCL16 (1067 ± 367 ug/L) in SLE patients were significantly higher than the controls (P < 0.05). Table 3 compared between the mean levels of uNGAL and urinary CXCL16 in SLE patients with renal affliction according to renal biopsy results. There was significant difference between mean levels of uNGAL and urinary CXCL16 in SLE patients with the renal involvement of different classes according to renal biopsy results (P < 0.05). Table 4 and Figure 1 summarized validity of uNGAL and urinary CXCL16 in prediction of LN. uNGAL had higher sensitivity and specificity than urinary CXCL16 in early prediction of LN.

Table 3 Comparison between levels of urinary neutrophil gelatinase-associated lipocalin and urinary CXC chemokine ligand 16 in systemic lupus erythematosus patients with renal affection according to renal biopsy results

Table 4 Validity of urinary neutrophil gelatinase-associated lipocalin and urinary CXC chemokine ligand 16 in early prediction of lupus nephritis

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Figure 1

Receiver operating characteristic curves of urinary neutrophil gelatinase-associated lipocalin and CXCL16 for prediction of activity of lupus nephritis

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Table 5 summerized correlations between uNGAL, urinary CXCL16, urinary protein/24-h collected urine, and SLEDAI. There was a significant positive correlation between uNGAL levels and 24-h urinary proteins (r = 0.732, P = 0.001) [Figure 2] and between uNGAL levels and SLEDAI (r = 0.359, P = 0.001) [Figure 3] and there was a significant positive correlation between urinary CXCL16 levels and 24-h urinary proteins (r = 0.470, P = 0.001) [Figure 4] and between urinary CXCL16 levels and SLEDAI (r = 0.17, P = 0.001) [Figure 5]. There was no significant correlation between either uNGAL or sCXCL16 and other laboratory parameters like C3 and anti dsDNA.

Table 5 Correlations between urinary neutrophil gelatinase-associated lipocalin, urinary CXC chemokine ligand 16, urinary protein/24 h-collected urine and Systemic Lupus Erythematosus Disease Activity Index

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Figure 2

Correlation between urinary neutrophil gelatinase-associated lipocalin and urinary protein in studied patients

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Figure 3

Correlation between uNGAL and Systemic Lupus Erythematosus Disease Activity Index

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Figure 4

Correlation between CXCL16 and urinary protein in studied patients

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Figure 5

Correlation between CXCL and Systemic Lupus Erythematosus Disease Activity Index in studied patients

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Discussion

In the present study, we aimed to measure uNGAL and CXCL16 levels in children and adolescents with SLE and to investigate whether they are elevated in active SLE patients and to verify their role in the diagnosis of LN.

As regard to sociodemographic data of patients, female-to-male ratio was 7:1, which refers to significance of endocrinal factors in the clinical presentation of SLE. On comparison to other Arab researches in pediatric age, it was similar to the study reported by Abdel-Hafez and Abdel-Nabi, 2015[10] (7:1), lower than the study of Bakr, 2005[11] (12:1) and higher than the study of Salah et al., 2009[12] (2.7:1) and Ali et al., 1989,[13] which was on Indian kids (4:1), Uziel et al., 2007,[14] which was on Israeli children, (5:1), and Dunget et al., 2012[15] inVietnam (4:1). Difference in gender distribution might be due to different numbers of patients, due to differences in ethnicity or due to genetic factors. In general, children and adolescents have higher values of SLEDAI scores than adults.[16] Global and rSLEDAI score have been used in our study as the predictors of disease activity.[7] The mean global SLEDAI score was 28.6 ± 21.46 and was similar to that of Abdel-Hafez and Abdel-Nabi, 2015[10] (29.95 ± 2.06), and study by Dunget et al.,[15] 2012 (23.8 ± 11.6).

In the current study, there was statistically significant increase in ANA and anti-dsDNA and statistically significant decrease in C3 and C4 in the patients as compared to healthy children, this result was in agreement with Bader-Meunier et al., 2005[17] who reported almost similar results in their research.

In this study, urinary levels of NGAL and serum levels of CXCL16 were analyzed in patients with concurrent renal biopsies, which were performed at different stages during their follow-up. LN Class I was the most common finding on kidney biopsy in our study, 40 (50%) of patients, 35% was with Class III, 12.5% with Class IV, 2.5% with Class II, and no patients with Class V.

These results were not in accordance with Pluchinotta et al., 2007[18] or Ramírez et al., 2008[19] who reported that Class IV was the most dominant result in their histopathologies. The difference in the results might be attributed to different indications of kidney biopsies in different research works. Pluchinotta et al., 2007[18] and Ramírez et al., 2008[19] did biopsies only for suspected severe LN; Class I LN was of the highest proportion in our study as Class I LN patients did not have significant proteinuria or elevated serum creatinine, so we did not depend on cutoff value for proteinuria as an indication of renal biopsy and hence kidney biopsies were done in our study routinely for all newly diagnosed SLE patients even without any urinary abnormality or a rise in the level of serum creatinine.

A cohort of Suzuki et al. was the first to show an association between NGAL and diffuse proliferative glomerulonephritis in pediatric SLE patients.[20] In our study, uNGAL and sCXCL16 were significantly higher in patients with SLE than in the control groups (P < 0.05). Their levels were higher in SLE patients with renal affection than those without renal affection according to the renal biopsy results (P < 0.05). These results are consistent with theory that higher levels of uNGAL were found in patients with progressive CKD.[21] Our results were in agreement with Susianti et al. who concluded that uNGAL or combination of uNGAL and urinary transforming growth factor beta 1 or urinary monocyte chemoattractant protein-1 (uMCP-1) had the best sensitivity and specificity for active LN.[22]

In our work, uNGAL showed a higher diagnostic sensitivity (95%) and specificity (90%) than serum CXCL16 which had a sensitivity of 85% and specificity of 80% in prediction of activity of LN. Our results were in agreement with Qin et al. who reported that sCXCL16 levels were elevated in LN and recommended it to be used as serological marker of disease activity and added it might be used for evaluation of treatment strategies.[5] Singh et al. reported that CXCL16 was less promising marker for LN when compared to MCP-1 or VCAM-1.[1]

On comparing the values of uNGAL and sCXCL16 with corresponding renal histopathological classes in this study, both markers were increased in Class IV more than Class III more than Class II more than Class I, so they tended to correlate with severity of pathological findings. This was a very promising finding since Class III and IV LN have the worst outcomes, waiting intensified aggressive lines of treatment.

In this work, uNGAL and sCXCL showed statistically significant positive correlations with 24-h estimated proteinuria. The same pattern was observed when these two markers were correlated against SLEDAI disease activity scores. Since the SLEDAI indicates severe but potentially reversible inflammation, these two markers could refer to disease activity, monitoring, and thus adequate therapy. These correlations were in agreement with Brunner et al. 2006 who found a positive correlation between uNGAL and both disease activity and renal histopathological findings of kidney biopsies in their juvenile-onset SLE.[4]

Our results were in agreement with Torres-Salido et al. who evaluated fractional excretion (FE) of uNGAL relative to FE of urinary proteins ratio (FE NGAL/FE protein ratio) as it provided additional benefit to the traditional biomarkers and uNGAL to predict a proteinuric flare before worsening of rSLEDAIs and to stratify outcomes of patients with LN.[23]

In a study of Singh et al., they reported that uCXCL16 showed a prognostic value for their studied patients and added that it had a negative correlation with chronicity index as high chronicity indices indicate late-stage fibrosis and irreversible renal damage, thus unfavorable response to treatment.[1] Susianti et al. reported that NGAL and FE NGAL/FE protein ratio could predict remission following therapy, renal flaring or progression to end-stage renal disease early in the course of LN, but our results differed from their results because they reported that active LN showed significantly reduced FE NGAL/FE protein ratios, mirroring the uNGAL levels, with high specificity and sensitivity to distinguish these patients from those with nonrenal disease and from those with a previous history of treated renal involvement that remained in partial remission.[22]