Serum cystatin C and βeta-2 microglobulin as potential biomarkers in children with lupus nephritis
Eman Baraka1, Nashwa Hashaad1, Walid Abdelhalim2, Gehan Elolemy1
1Department of Physical Medicine and Rehabilitation, Division of Rheumatology, Faculty of Medicine, Benha University, Benha, Egypt
2Department of Clinical and Chemical Pathology, Faculty of Medicine, Benha University, Benha, Egypt
Keywords: Cystatin C, disease activity, juvenile lupus nephritis, renal biopsy, βeta-2 microglobulin.
Abstract
Objectives: In this study, we aimed to assess serum levels of Cystatin C (Cys C) and beta-2 microglobulin (β2M) in juvenile systemic lupus erythematosus (JSLE) patients and to investigate their role as potential biomarkers of lupus nephritis (LN) and overall disease activity.
Patients and methods: Between December 2018 and November 2019, a total of 40 patients with JSLE (11 males, 29 females; mean age: 12.6±2.5 years; range, 7.5 to 16 years) and 40 age- and sex-matched controls (10 males, 30 females; mean age: 12.3±2.4 years; range, 7 to 16 years) were included in this study. Serum (s) Cys C and β2M levels were compared between the groups. The SLE Disease Activity Index (SLEDAI-2K), the renal SLEDAI (rSLEDAI), and the Renal Damage Index were used.
Results: JSLE patients had significantly elevated mean sCyc C and sβ2M levels (1.4±0.8 mg/mL and 2.8±0.9 mg/mL, respectively) compared to the controls (0.6±0.1 mg/mL and 2.0±0.2 mg/mL, respectively; p<0.00). The mean sCys C and sβ2M levels were significantly higher in the LN group, compared to non-LN patients (1.8±0.7 mg/mL and 3.1±1.0 mg/mL, respectively vs. 0.8±0.3 mg/mL and 2.4±0.6 mg/mL, respectively; p=0.002 and p=0.02, respectively). The sCys C levels had significant positive correlations with erythrocyte sedimentation rate (r=0.3, p=0.05), serum creatinine (r=0.41, p= 0.007), 24-h urinary protein (r=0.58, p<0.001), anti-double stranded deoxyribonucleic acid antibodies titers (r=0.55, p=0.002), extra-renal SLEDAI scores (r=0.36, p=0.04), rSLEDAI (r=0.46, p=0.002), and renal class (r=0.7, p=0.0001). Serum β2M levels were significantly negatively correlated with complement 4 levels (r=-0.31, p=0.04) and significantly positively correlated with extra-renal SLEDAI scores (r=0.3, p=0.05).
Conclusion: These findings confirm that sCys C and sβ2M levels are increased in JSLE patients in association with the overall active disease. However, sCys C level may act as a promising non-invasive biomarker for predicting kidney disease activity and biopsy classes in children with JSLE.
Introduction
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multisystem immune-mediated tissue damage and heterogeneous clinical manifestations.[1] The disease begins in 10 to 20% of patients prior to adulthood and is called juvenile SLE (JSLE), as 16 years of age is the most commonly used maximum age in the diagnosis of JSLE, while 14 to 20 years of age have been adopted.[2] Juvenile SLE affects females more commonly, probably due to hormonal changes in puberty, yet the ratio of girls and boys (5 to 8:1) is less noticeable compared to adults, which increases with age to adult values.[3] Although the clinical features of JSLE are similar to those observed in adult SLE patients, the disease is characterized by a higher activity and frequent renal, hematological, and neuropsychiatric involvement in children.[4]
Lupus nephritis (LN) affects up to 80% of JSLE patients and develops in more than 90% of patients within two years of diagnosis with the potential for irreversible kidney damage in up to 19% of patients. Since the late diagnosis of renal impairment is associated with a high incidence of end-stage renal disease (ESRD), early diagnosis and prompt intervention are of great importance.[5,6]
Renal biopsy plays a crucial role in the diagnosis of LN and the pathological classification by the International Society of Nephrology and the Renal Pathology Society (ISN/RPS) or the earlier classifications by the World Health Organization (WHO) and scored activity indices (AIs) and chronicity indices (CIs) are also used to predict the renal prognosis and for therapy guidance.[7,8]
However, renal biopsy carries a risk of bleeding complications.[9] Besides, serial biopsies may be required to inform ongoing treatment decisions and predict long-term prognosis, which makes it difficult to apply, particularly in JSLE patients.[10] Several biomarkers have been actively sought to replace invasive kidney biopsies such as proteinuria, creatinine (Cr) clearance, antidouble stranded deoxyribonucleic acid antibodies titers (anti-dsDNA) levels and serum complement, and have found that they may not be useful to adequately predict relapse or identify the degree of disease activity and chronic damage.[11]
Cystatin C (Cys C) is a small-molecular-weight endogenous protein which belongs to the cysteine protease inhibitors, and its serum level has been suggested as a sensitive and stable marker of glomerular filtration rate (GFR). It is produced by all nucleated cells at a relatively constant rate, as a housekeeping gene encodes the protein.[12] Under normal circumstances, the serum level of Cys C is almost completely filtered by the renal glomeruli and catabolized primarily by the proximal tubules; thus, its levels are closely correlated with GFR.[13]
Beta-2 microglobulin (β2M) is a low-molecularweight protein that is primarily released by active lymphocytes, and increased serum levels have been detected in patients with rheumatoid arthritis, Sjögren's syndrome, and SLE.[14] The circulating β2M is reabsorbed by proximal renal tubule and its enhanced urinary excretion is a known marker of tubulointerstitial renal diseases.[15] The molecule was considered a relatively non-toxic uremic retention solute; however, its significance as a potential non-Cr renal filtration marker was overshadowed by Cys.[16]
There are constant searches to meet the unmet needs of sensitive biomarkers for chronic kidney disease. In the present study, therefore, we aimed to assess serum levels of Cys C and β2M in JSLE patients and to investigate their role as potential biomarkers of LN and overall disease activity.
Patients and Methods
This cross-sectional study was conducted at the Rheumatology, Rehabilitation and Physical Medicine Departement. Faculty of Medicine, Benha University between December 2018 and November 2019. A total of 40 patients with JSLE (11 males, 29 females; mean age: 12.6±2.5 years; range, 7.5 to 16 years) who met at least four of the revised American College of Rheumatology criteria for the classification of SLE[17] were included. All patients were recruited from the inpatient section and outpatient clinic of the hospital. Exclusion criteria included any history suggestive of any systemic, autoimmune, or connective tissue diseases. In addition, those with overlap autoimmune diseases, active infections (such as viral hepatitis and tuberculosis), ESRD, kidney transplantation, malignancy, or those using non-steroidal anti-inflammatory drugs (NSAIDs) during the past six months were excluded. The control group consisted of 40 age- and sex-matched healthy volunteers (10 males, 30 females; mean age: 12.3±2.4 years; range, 7 to 16 years). Children of the control group were recruited from the children of hospital workers and their relatives. Inclusion criteria for the control group were as follows: age <16 years and absence of history suggesting of any systemic, autoimmune, or connective tissue diseases. In addition, their laboratory assays including inflammatory markers, renal function test and immunology work-up were within the normal ranges. All clinical assessments and laboratory investigations were done on the same day of sample collection.
All demographic data, full history, and current medications were recorded. Participants’ height and weight were estimated, body mass index (BMI) was calculated, and a thorough clinical examination was performed. The Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) was used to assess disease activity.[18] For the assessment of renal disease activity, the renal SLEDAI (rSLEDAI) was used. It represents the sum of the four renal-related items of the SLEDAI-2K; hematuria and pyuria (both >5 cells/high power field), proteinuria >0.5 g/day, and cellular casts. Each of the four items receives a score of 4, and the total rSLEDAI score ranges from 0 (inactive renal disease) to a maximum of 16. Extra-renal disease activity was assessed using the extra-renal SLEDAI, which includes the sum of all other domains’ scores excluding those of four renal domains in the SLEDAI-2K score.
Cumulative renal damage was assessed using the renal-related items of the Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index (rSLICC).[19] Items which specifically characterize kidney damage include estimated GFR <50%, proteinuria ≥3.5 gm/24 h, and ESRD. However, the presence of ESRD was one of the exclusion criteria in our study and, therefore, rSLICC ranged from 1 to 2. The results of renal biopsy that was done as a part of disease evaluation of the JSLE (up to three months prior to study entry) were considered and classified according to the WHO classification system for LN.[7] Activity (AIs) and chronicity (CIs) indices for biopsy assessment of LN were recorded.[8]
A total of 7 mL of venous blood sample were taken from the participants in this study and used for laboratory investigations. The blood sample was divided into three parts: the first part was used freshly for measurement of complete blood count (CBC) by Sysmex XP-300 (Sysmex Corporation, Kobe, Japan), and the second part was used for measurement of the erythrocyte sedimentation rate (ESR 1st h), and C-reactive protein (CRP) mg/mL, and the third part was allowed to clot, then centrifuged (2,000 to 3,000 rpm), and the separated serum was used to measure serum complement (C3 and C4), anti-nuclear antibody (ANA), and anti-dsDNA. Renal function was assessed by serum Cr, blood urea nitrogen (BUN), urine analysis, and 24-h urine protein. The GFR was estimated (eGFR) in (mL/min/1.73 m2) according to the Bedside Schwartz formula [41.3 X (height in meters/serum Cr in mg/dL)].[20] The remaining serum was kept frozen at -20 for the measurement of serum Cys C (Cat#: MBS700210, MyBioSource, San Diego, CA, USA), serum β2M (Cat#: MBS705051, MyBioSource, San Diego, CA, USA) using enzyme-linked immune sorbent assay (ELISA) in accordance with the manufacturer instructions.
Statistical analysis
Statistical analysis was performed using the SPSS version 15.0 software (SPSS Inc., Chicago, IL, USA). Data were presented in mean ± standard deviation (SD), median (interquartile range [IQR]) or number and percentage. The Student’s t-test, Mann-Whitney U test, or chi-square test were to compare variables between the groups, where applicable. The Spearman correlation was used to identify any correlation between two variables. A multiple regression analysis was performed to examine independent variables which could predict renal biopsy class. A p value of <0.05 was considered statistically significant.
Results
Forty children with JSLE and 40 apparently healthy children were recruited over a 12-month period. Age, sex, and BMI distributions were matched in both groups (p=0.61, p=0.79, and p=0.36, respectively). Children with JSLE had an elevated mean serum Cyc C and serum β2M levels (1.4±0.8 mg/mL and 2.8±0.9 mg/mL, respectively), compared to healthy controls (0.6±0.1 mg/mL and 2.0±0.2 mg/mL, respectively; p<0.001) (Table 1).
The mean disease duration was 17.5+10.2 (range, 3 to 42) months. The most common clinical manifestations of the patients at the time of the study were arthralgia and/or arthritis (82.5%), LN (57.5%), hematological disorders (56%), and malar rash (45%) (Table 2). Fifteen (37.5%) patients previously underwent a renal biopsy as a part of disease evaluation and were classified according to the WHO classification system for LN. The patients’ medication at the time of blood withdrawal, clinical manifestations, as well as histopathological features of renal biopsies (classes, AIs and CIs) are shown in Table 2.
The patients were further divided into two groups as the LN group (n=23), including patients with nephritis (clinically and/or biopsy-proved) and as the non-LN group (n=17) including those without nephritis. Musculoskeletal and mucocutaneous manifestations were the most common clinical features in both groups, followed by hematological disorders. Patients with LN had a significantly higher titer of anti-dsDNA (p<0.001) and proteinuria (p<0.001) and significantly lower levels of C3 (p=0.005), compared with non-LN patients. The mean values of ESR (p=0.06), CRP (p=0.93), serum Cr (p=0.06), BUN (p=0.61), and eGFR (p=0.14) did not show any statistically significant difference between the patients with and without LN. Also, the mean extra-renal SLEDAI scores did not differ significantly between the LN and non-LN groups (8.3±6.0 vs. 6.5±5.7, respectively; p=0.31). However, the mean levels of serum Cys C and b2M were significantly higher in the LN group, compared to non-LN patients (1.8±0.7 mg/mL and 3.1±1.0 mg/mL, respectively vs. (0.8±0.3 mg/mL and 2.4±0.6 mg/mL, respectively; p=0.002 and p=0.02, respectively) (Figure 1). Comparison of the demographic, clinical, and laboratory characteristics between both groups is shown in Table 3.
The serum Cys C levels were significantly positively correlated with the values of ESR (r=0.3, p=0.05), serum Cr (r=0.41, p=0.007), 24-h urinary protein (r=0.58, p<0.001), anti-dsDNA titers (r=0.55, p=0.002), and both extra-renal SLEDAI scores (r=0.36, p=0.04 (Figure 2a) and rSLEDAI (r=0.46, p=0.002 (Figure 2b), as well as histopathological renal class (r=0.7, p=0.0001). However, these levels were significantly negatively correlated with eGFR (r=-0.35, p=0.02) and C3 levels (r=-0.47, p=0.002). On the other hand, the serum β2M levels were significantly negatively correlated with C4 levels (r=-0.31, p=0.04) and significantly positively correlated with extra-renal SLEDAI scores (r=0.3, p=0.05). In contrast, neither serum Cys C nor β2M levels showed a significant association with the rSLICC (p=0.38 and p=0.94, respectively), AIs (p=0.5 and p=0.89, respectively) and CIs (p=0.22 and p=0.67, respectively). Serum Cys C and β2M levels were not correlated with each other (r=0.21, p=0.19, respectively) (Table 4).