Journal of Immunology Research

Volume 2014 (2014), Article ID 672126, 6 pages

http://dx.doi.org/10.1155/2014/672126

Research Article

Antilymphocyte Antibodies in Systemic Lupus Erythematosus: Association with Disease Activity and Lymphopenia

Chun Li,¹ Rong Mu,¹ Xiao-yan Lu,² Jing He,¹ Ru-lin Jia,¹ and Zhan-guo Li¹

¹Department of Rheumatology and Immunology, Peking University People’s Hospital, 11 South Xizhimen Street, Beijing 100044, China

²Department of Rheumatology and Immunology, Peking University Shenzhen Hospital, 1120 Futianlianhua Road, Shenzhen 518036, China

Received 11 December 2013; Revised 30 March 2014; Accepted 31 March 2014; Published 17 April 2014

Academic Editor: Pier-Luigi Meroni

Copyright © 2014 Chun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Purpose. We analyzed the prevalence, clinical correlation, and the functional significance of ALA in patients with systemic lupus erythematosus (SLE). Methods. ALA IgG was detected by indirect immunofluorescence in the serum of 130 SLE patients, 75 patients with various rheumatic diseases, and 45 healthy controls (HC). Results. The sensitivity and specificity of ALA IgG in SLE were 42.3% and 96.7%, respectively. ALA was observed in 55.6% (50/90) of patients with lymphopenia, which was significantly higher than in patients with normal lymphocytes (5/40, 12.5%; ). Patients with active SLE showed higher ALA positivity (60.9%) than those with inactive disease (24.2%; = 17.925; ). ALA correlated significantly with hypocomplementemia, anti-dsDNA antibodies, and higher SLEDAI scores. The incidences of ALA in SLE patients who were seronegative for anti-dsDNA, anti-Sm, or both antibodies were 32.9% (26/79), 41.0% (43/105), and 32.4% (22/68), respectively. The ALA-positive group also had higher incidences of neuropsychiatric SLE (NPSLE) and lupus nephritis (LN). In multivariate analyses, ALA was independently associated with lymphopenia, higher SLEDAI scores, and increased risk for LN. ALA titers significantly decreased as clinical disease was ameliorated following treatment. Conclusions. ALA occurred more frequently in patients with active SLE and was independently associated with lymphopenia, disease activity, and LN.

1. Introduction

Lymphopenia is a common clinical manifestation in systemic lupus erythematosus (SLE) and is one of the diagnostic criteria, according to the American College of Rheumatology (ACR) classification [1]. Lymphopenia was observed in 62% of adult patients at the diagnosis of SLE [2]. The cumulative percentage of the occurrence of lymphopenia over the course of the disease reached over 90% in an adult series [2]. In addition to its clinical use as a diagnostic marker, lymphopenia is associated with disease activity and organ damage [3, 4]. Studies have also suggested that lymphopenia is a risk factor for carotid intima-media thickness in juvenile-onset SLE [5].

Because lymphopenia is a common manifestation in SLE, people have long been interested in antibodies against lymphocytes. Lymphocytotoxic antibodies (LCA) were found in the great majority of patients with SLE [6, 7]. The standard method for the detection of LCA is a microcytotoxicity test. However, subtle differences in the protocol, such as incubation/isolation temperature, method of target cell isolation, and serum dilution, can result in result variability, and this has created many controversies in the literature. A practical indirect immunofluorescence test, for ALA, was developed to overcome the shortcomings of LCA. LCA was shown to be cold-reactive and to detect IgM exclusively [6, 8, 9]. However, Agnello suggested that the IgG type may be more important functionally [10] and more effective at physiological temperatures.

Despite this, there has been little research investigating the role of ALA IgG in SLE. The causal relationship between ALA and lymphocyte function is also largely unexplored. In the present study, we detected ALA IgG and analyzed the possibility of using ALA IgG as a biomarker for disease activity in SLE. We also explored the relationship between lymphopenia and ALA.

2. Materials and Methods

2.1. Patients

In total, 130 Chinese SLE patients who attended to the Department of Rheumatology and Immunology, Peking University People’s Hospital, were enrolled. All patients were on stable doses of glucocorticoids in the previous month and did not used immunosuppressants in the previous 6 months. Serum samples were obtained from the patients. All patients fulfilled the 1997 revised American College of Rheumatology SLE criteria [1].

Also, 75 patients with other autoimmune diseases were used as a disease control group. There were 16 Sjögren’s syndrome (SS), 21 rheumatoid arthritis (RA), 16 ankylosing spondylitis (AS), 5 dermatomyositis/polymyositis (DM/PM), 5 undifferentiated connective tissue diseases (UCTD), 7 systemic sclerosis (SSc), and 5 osteoarthritis (OA) cases. In these control patients, there were 56 females and 19 males (female : male = 2.95 : 1). Healthy control (HC) serum samples were obtained from 45 blood donors. All sera were kept at −20°C.

The protocol for the study was approved by the Ethical Committee of Peking University People’s Hospital (FWA00001384).

2.2. Methods

2.2.1. Detection of Antilymphocyte Antibody (ALA)

Serum ALA was assayed using an indirect immunofluorescence test kit according to the manufacturer’s protocol (EUROIMMUN, Germany).

2.2.2. Identification of ALA

The identification of ALA included two steps to ensure the specificity. First, ANCA were detected by an indirect immunofluorescence test (EUROIMMUN) to exclude cross-reactivity. Second, Biochip slides were incubated with RNase-free DNase RQ1 (1 U/μL; TaKaRa Biotechnology, Dalian, China) at room temperature. Control slides were treated with trypsin (0.125 μg/µL, Dingguo, Beijing) for 30 min at 37°C. Then, 5 μL DNase RQ1 was added to serum samples in a final volume of 50 μL and incubated for 60 min at room temperature. Also, 5 μL enzyme-free buffer was used as a control. The reaction was stopped by adding 5 μL 0.5 Methylenediaminetetraacetic acid (EDTA). After washing the slides twice in PBS, subsequent steps were performed according to the manufacturer’s protocol.

2.2.3. Clinical and Laboratory Parameters

Clinical and laboratory features of SLE patients were recorded. Lymphopenia was defined according to the ACR criteria (<1.5 × 10⁹/L) and was scored only if physicians determined that it was attributed to SLE and not to medications or other causes. Leucopenia was defined as a white blood cell (WBC) count <4 × 10⁹/L. The “systemic lupus erythematosus disease activity index” (SLEDAI) was used to assess disease activity. A SLEDAI score > 8 was defined as active lupus, as described previously [11].

2.3. Statistical Analysis

Data with a normal distribution are expressed as the mean ± SD. Nonnormally distributed data are expressed as the median and interquartile range. Categorical variables were analyzed using the test or Fisher’s exact test. Student’s -test or analysis of variance (ANOVA) was used for continuous data and the Mann-Whitney -test was used for nonnormally distributed data. The ALA titers before and after treatment were compared using Wilcoxon’s signed rank test. Multivariate analysis was performed to investigate the relationship between ALA, lymphopenia, the development of LN or NPSLE and SLEDAI scores, adjusting for gender, age, and disease duration. Statistical significance was defined as (two-tailed). All statistical analyses were performed using the SPSS software (ver. 16.0).

3. Results

Under microscopic examination, ALA was shown as a fluorescence of the cytoplasm or as a linear annular fluorescence of the lymphocyte cell membrane (Figure 1(a)). For serum without ALA, there was no fluorescence in either the cytoplasm or around the cell membrane (Figure 1(b)). In the identification test, there was no fluorescence in the cytoplasm or linear annular fluorescence in neutrophils or granulocytes on slides. The fluorescence pattern and intensity did not change after pretreatment with RNase-free DNase RQ1 (Figure 1(c)), whereas there was no fluorescence in slides pretreated with trypsin (Figure 1(d)), indicating that the ALA antigen was a protein.

(a)

(b)

(c)

(d)

Figure 1: ALA immunofluorescence patterns (×400). (a) ALA-positive pattern with fluorescence in the cytoplasm or a linear annular fluorescence around the lymphocyte cell membrane. (b) ALA-negative pattern with the absence of fluorescence in the cytoplasm or the lymphocyte cell membrane. (c) Immunofluorescence patterns on lymphocytes pretreated with DNase. (d) Immunofluorescence patterns on lymphocytes pretreated with trypsin. This result indicated that the ALA antigen was a protein.

Of the 130 SLE patients, 55 (42.3%) were positive for ALA. No healthy control was positive for ALA (; Table 1). The prevalence in other rheumatic diseases was significantly lower at 5.6% (4/72, , Figure 2). The sensitivity and specificity of ALA for the diagnosis of SLE were 42.3% and 96.7%, respectively.

Table 1: Demographic, clinical and laboratory features of SLE patients.

Characteristics

Female, n (%)
122 (93.8)

Age, mean ± SD years

Disease duration, median (interquartile range)
2 (0.8–5)

SLEDAI, mean ± SD

Clinical features, n (%)

Lupus nephritis
64 (49.2)

NPSLE
13 (10)

Arthralgia
45 (34.6)

Serositis
15 (11.5)

Anti-dsDNA positive, n (%)
50 (38.5)

ALA, n (%)
55 (42.3)

Figure 2: Prevalence of ALA in patients with SLE. The positive rate of ALA in patients with SLE was significantly higher than the other conditions in the control group (4/75, 5.6%): DM/PM (1/5, 20%), SS (2/16, 12.5%), RA (1/21, 4.8%), UCTD (0/5, 0%), SSc (0/7, 0%), OA (0/5, 0%), AS (0/16, 0%), and HC (0/45, 0%), respectively ().

The positive rate of ALA in the lymphopenia group was much higher than in the normal lymphocyte group (55.6% versus 12.5%; ). The prevalences of lupus nephritis (76.4%) and NPSLE (18.2%) in ALA-positive SLE patients were significantly higher than in ALA-negative SLE patients (29.3% and 4%, resp.; ) (Table 2). The SLEDAI score of the ALA-positive group was 11.84 ± 5.36, compared with 8.33 ± 5.71 in the negative group (). Using multivariate logistic regression, adjusting for gender, age, and disease duration, ALA was independently associated with lymphopenia (odd ratio (OR) 6.034, 95% confidence interval (CI) 1.385–26.301; ), disease activity (OR 3.713, 95% CI 1.560–8.835; ), and increased risk for LN (OR 5.873, 95% CI 2.523–13.672; ), but not for NPSLE (OR 4.495, 95% CI 0.969–20.865; ).

Table 2: The correlation of ALA and clinical manifestations in SLE.

Clinical Features
ALA negative

()
ALA positive

()
χ 2
values

n
%
n
%

LN
22
29.3
42
76.4
28.080

NPSLE
3
4.0
10
18.2
7.091

Skin Rash
35
46.7
27
49.1
0.075
0.785

Photosensitivity
8
10.7
2
3.6
1.330
0.189

Oral Ulcer
10
13.3
8
14.5
0.039
0.843

Arthralgia
29
38.7
16
29.1
1.286
0.257

Serositis
7
9.3
8
14.5
0.845
0.358

Raynaud Phenomenon
6
8.0
6
10.9
0.320
0.571

Alopecia
21
28
18
32.7
0.338
0.561

Myositis
5
6.7
1
1.8
1.694
0.193

.

Serum complement (C3, C4) levels were much lower in ALA-positive versus ALA-negative patients (; Table 3). The frequencies of ANA and anti-dsDNA antibodies were significantly higher in ALA-positive SLE patients (94.5% and 50.9%) than in the ALA-negative group (80% versus 29.3%, ) (Table 3).

Table 3: The relation between ALA and other laboratory parameters in SLE.

Laboratory parameters
ALA negative

()
ALA positive

()
χ 2
values

n
%
n
%

ANA
60
80
52
94.5
5.628

Anti-dsDNA
22
29.3
28
50.9
6.241

Anti-SSA
20
26.7
22
40.0
2.579
0.108

Anti-SSB
5
6.7
6
10.9
0.737
0.391

Anti-RNP
14
18.7
11
20.0
0.036
0.849

Anti-Sm
10
13.3
7
12.7
0.010
0.919

ESR Elevation
50
66.7
45
81.8
3.702
0.054

CRP Elevation
27
36
17
30.9
0.367
0.544

C3 Decrease
58
77.3
54
98.2
11.562
0.001※

C4 Decrease
51
68
48
87.3
6.490
0.011※

IgA Elevation
13
17.3
14
25.5
1.272
0.259

IgG Elevation
34
45.3
29
52.7
0.695
0.405

IgM Elevation
5
6.7
5
9.1
0.263
0.608

Leucopenia
31
41.3
32
58.2
3.606
0.058

Thrombocytopenia
16
21.3
8
14.5
0.971
0.324

.

ALA was also found in some anti-dsDNA and anti-Sm-negative patients. The positive rates of ALA were 32.9%, 41.0%, and 32.4% in anti-dsDNA negative, anti-Sm negative, and double-negative SLE patients, respectively.

ALA titers decreased significantly in accordance with disease amelioration following treatment in a subgroup of 20 patients with SLE (Figure 3). The SLEDAI scores in these 20 patients also decreased from 15.8 ± 6.2 to 3.6 ± 3.0 ().

Figure 3: ALA titers before and after treatment in 20 patients with SLE. The ALA titers decreased significantly in accordance with clinical amelioration of disease following treatment ().

4. Discussion

Our study demonstrated that the sensitivity and specificity of ALA IgG in SLE were 42.3% and 96.7%, respectively. ALA was independently associated with lymphopenia. The SLEDAI scores and the prevalences of LN and NPSLE were significantly higher in ALA-positive SLE patients than in ALA-negative SLE patients. ALA was also associated with disease activity and LN. Multivariate analysis revealed that ALA was independently associated with disease activity and increased risk for LN. ALA titers decreased significantly in accordance with disease amelioration and monitoring the titer of this antibody may be helpful for predicting disease flares.

As suggested by Magalhães et al., LCA in SLE is associated with disease activity, regardless of the presence of neuropsychiatric manifestations [12]. In the present study, we also found that ALA was associated with disease activity parameters, such as hypocomplementemia, anti-dsDNA antibody, and SLEDAI scores, confirming that ALA is a meaningful biomarker for disease activity (Table 3). Furthermore, ALA was related to anti-dsDNA antibody; however, it was also seen in 32.9% of anti-dsDNA-negative SLE patients. Thus, ALA may be a better or supplementary parameter of disease activity.

ALA is believed to act in both cryoprecipitate formation and the development of organ damage [13, 14]. Our results are consistent with previous studies showing that ALA was correlated with organ involvement, such as LN, indicating that ALA is a predictor for poor prognosis and may play a role in the pathogenesis of SLE. Osman and Swaak’s study showed an overlap between ALA and anti-β2-microglobulin [15]. ALA may have an impact on T cells as well as on B-cell function and play a role in LN [16]. Although complete information concerning the molecules with which ALA interacts is not yet available, possible target antigens of ALA include CD45, T-cell receptors, β2-microglobulin, and HLA I/HLA II antigens [17].

To date, no direct relationship between ALA and lymphopenia has been reported. In our study, ALA was present in more than half of the SLE patients with lymphopenia. Of the patients with ALA, 90.9% had lymphopenia. In a multivariate analysis, ALA was independently associated with lymphopenia. The results suggest that ALA might be one of the reasons for lymphopenia. Possible mechanisms include the depletion of circulating T cells and ALA may have the capacity for direct actions on target cells, including complement-dependent cytotoxicity and ADCC, modulation of surface antigens, and up- or downregulation of various cell functions in the immune response [15]. Other possible explanations for lymphopenia have been proposed. Several other autoantibodies, such as anti-SSA antibody, anti-snRNP antibody, and anti-dsDNA antibody, may have lymphocytotoxic properties. Another contributing factor to lymphopenia involves defective CD95/Fas systems [18] and diminished expression of complement regulatory proteins (CD55 and CD59) [19]. Despite these hypotheses, our results indicate that ALA plays a role in the pathogenesis of lymphopenia in SLE patients.

5. Conclusions

In conclusion, ALA IgG is a good parameter of disease activity and is associated with LN in SLE. The presence of ALA may be important in the mechanism of lymphopenia in SLE.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Authors’ Contribution

Rong Mu contributed equally to this paper.

Acknowledgments

This work was supported by the National High Technology Research and Development Program of China (973 Program, 2012CB517700) and The National Natural Science Foundation (81202297).

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