Literature DB >> 30159050

Serum Midkine Levels in Systemic Lupus Erythematosus.

Blondina Marpaung1, Andi Raga Ginting1, Ok Moehad Sjah1.   

Abstract

BACKGROUND: Midkine (MK) induces inflammation and could inhibit inducible regulatory T cell differentiation. These reports suggest that MK may play a role in the pathogenesis of autoimmune disease including SLE, but data about MK in SLE patients was still limited, and the role of Midkine in SLE is largely unknown. AIM: The purpose of this study was to compare serum level MK in SLE patients and control, also analysed the relationship between the serum MK level and disease activity in SLE.
METHODS: This cross-sectional study was conducted in Adam Malik Hospital from January-June 2017. Diagnosis of SLE was established according to the Systemic Lupus International Collaborating Clinics (SLICC) classification criteria, and disease activity was assessed using the Mexican Systemic lupus erythematosus disease activity index (MEX-SLEDAI). Subjects with evidence of malignancy and systemic disease (pulmonary, kidney, liver, metabolic disorder, etc.) were excluded. Data analysis was performed using SPSS 22nd version. P < 0.05 was considered statistically significant.
RESULTS: There were 90 subjects and divided into 2 groups: SLE patients group (n=40) and healthy control groups (n = 50). Midkine levels were increased in the serum of SLE patients compared by health control. There was a significant difference in the median serum Midkine levels between SLE patients and healthy control (P < 0.001). Elevated Midkine serum levels were a significant difference between active disease and remission (P = 0.018).
CONCLUSION: Elevated Midkine serum level could be a marker of SLE disease activity and have a role in the pathogenesis of SLE.

Entities:  

Keywords:  Midkine; Systemic Lupus Erythematosus

Year:  2018        PMID: 30159050      PMCID: PMC6108788          DOI: 10.3889/oamjms.2018.315

Source DB:  PubMed          Journal:  Open Access Maced J Med Sci        ISSN: 1857-9655


Introduction

Systemic lupus erythematosus (SLE) is a common systemic inflammatory autoimmune disease. The immune response in SLE can cause chronic inflammation leading to irreversible damage to organ systems [1]. SLE is characterised by many immunologic abnormalities, such as polyclonal activation of circulating B cells that generate a large number of autoreactive antibodies. SLE is also characterised by T lymphocyte abnormalities and immune complex (IC) deposition [2]. Cytokines that are derived from monocyte/macrophage play a key role in SLE pathogenesis. Cytokines collectively play key roles in the regulation of systemic inflammation, local tissue damage, and immunomodulation [3]. Midkine (MK) is a heparin-binding growth factor that was originally identified as the retinoic acid–response gene product. MK gene encodes it on chromosome 11 [4]. Midkine has a critical role in cell growth, survival, migration, angiogenesis, and carcinogenesis [5]. A higher midkine level in peripheral blood was associated with a poor outcome in patients with malignancies [6]. MK might modulate inflammatory responses [7]. MK induces inflammation via increasing leukocytes migration, induction of chemokine synthesis and preventing the development of regulatory T cells [8]. Midkine could inhibit inducible regulatory T cell differentiation by suppressing the development of tolerogenic dendritic cells [9]. It has been reported that MK level was elevated in the serum and synovial fluid of RA patients. These reports suggest that MK may play a role in the pathogenesis of RA [10]. Data about MK in SLE patients was still limited. Role of midkine in SLE is largely unknown. The purpose of the present study was to compare the serum level of MK in SLE patients and control, also analysed the relationship between the serum MK level and disease activity in SLE.

Methods

This study was a cross-sectional study on 40 consecutive SLE patients that were admitted to the Rheumatology Department and outpatient clinic of Adam Malik General Hospital and affiliated hospitals in Medan, Indonesia between January-June 2017. Diagnosis of SLE was established according to the Systemic Lupus International Collaborating Clinics (SLICC) classification criteria [11]. Subjects with evidence of malignancy and systemic disease (pulmonary, kidney, liver, metabolic disorder, etc.) were excluded. Disease activity was assessed for all the patients using the Mexican Systemic lupus erythematosus disease activity index (MEX-SLEDAI). MEX-SLEDAI score has a score range of 0 to 32, where the higher the score indicates, the more severe the activity of SLE disease. Active lupus is defined as the MEX-SLEDAI score > 5 [12]. Renal disorder in SLE patients according to SLICC classification criteria was proteinuria (> 0.5 g/24hr) or red blood cell casts [11]. Fifty age and sex-matched subjects were considered as a control group and were recruited from the relatives of the patients and healthcare providers in the hospital. The study was approved by the local ethics committee. All patients gave their informed consent before their inclusion in the study. Serum MK was measured in all enrolled subjects using ELISA kit (Glory Science, USA). The assay is based on a double-antibody sandwich ELISA technique for the quantitative assay of human MK in samples. In this technique, MK binds to the monoclonal antibody-enzyme well which is precoated with human MK monoclonal antibody, making a solid phase antibody. Then MK antibody is added and combines with Streptavidin-Horseradish Peroxidase (HRP) to form an immune complex. Following incubation, MK is removed during a wash step and then substrates A and B are added to the wells and the colour of the liquid changes into blue. The coloured product is formed in proportion to the amount of MK present in the sample. The reaction is terminated by addition of sulphuric acid. The concentration of MK in the samples is then determined by comparing the (optical density) OD of the samples to the standard curve and values were reported as pg/mL. Numerical data were expressed as mean ± SD, or median (interquartile range, IQR) if they were not in normal distribution. Data analysis was performed through univariate and bivariate analyses using the SPSS 22nd version (SPSS Inc., Chicago) with a 95% confidence interval. Bivariate analysis was performed using an Independent t-test and Mann-Whitney U test with significance p<0.05.

Results

This study was followed by 90 subjects and divided into 2 groups: SLE patients group (n = 40) and Healthy control group (n = 50). There were 37 (92.5%) female patients and 3 (7.5%) male patients in group SLE. The mean age of the SLE group and healthy control group were 28.7 (6.1) and 27.3 (5.8) years respectively. The median of disease duration in group SLE was 4.5 (0-9) years. 24 patient (57.5%) in the SLE group had active disease (MEX-SLEDAI score > 5) and 19 patients (47.5%) had renal disorder (Table 1).
Table 1

Basic and clinical characteristics of the subjects

CharacteristicsSLE patients (n = 40)Healthy controls (n = 50)
Gender [a]
 Female37 (92.5%)46 (92%)
 Male3 (7.5%)4 (8%)
Age (years) [b]28.7 (6.1)27.3 (5.8)
BMI (kg/m2) [b]22.7 (3.6)24.4 (3.7)
Disease duration (years) [c]4.5 (0 – 9)NA
Active Disease [a]NA
 Yes24 (57.5%)
 No16 (42.5%)
Renal disorder [a]NA
 Yes19 (47.5%)
 No21 (52.5%)

N = total number of subjects;

n (%);

mean ± SD;

median (min-max).

Basic and clinical characteristics of the subjects N = total number of subjects; n (%); mean ± SD; median (min-max). Midkine levels were increased in the serum of SLE patients compared by health control. There was a significant difference in the median serum Midkine levels between SLE patients and healthy control (P < 0.001). Patients SLE with active disease had midkine levels higher than remission group (660.2 ± 84.8) vs (596.9 ± 68.8) pg/ml, there was a significant difference in serum Midkine levels between active disease and remission (P = 0.018) but there was no significant difference in serum Midkine levels in renal disorder group (P = 0.092) (Table 2).
Table 2

Comparison of serum midkine between SLE patients, active disease and renal disorder groups

GroupNumberMidkine Levels (pg/ml)p
SLE patients[a]40658 (502-795)<0.001
Healthy controls50510 (370-750)
Active Disease
 Yes24660.2 ± 84.80.018
 No16596.9 ± 68.8
Renal Disorder[b]
 Yes19658.4 ± 75.20.092
 No21613.6 ± 87.5

Mean ± SD;

Median (min-max).

Comparison of serum midkine between SLE patients, active disease and renal disorder groups Mean ± SD; Median (min-max). SLE patients had serum Midkine levels higher than the control group; it can be seen in Figure 1, that median Midkine levels were 658 (502-795) pg/ml in SLE patient group and 510 (370-750) pg/ml in healthy control group.
Figure 1

Boxplot diagram of Midkine level between SLE patients and controls

Boxplot diagram of Midkine level between SLE patients and controls SLE patients, especially with active disease, had serum Midkine levels higher than remission group because of elevated levels of autoimmune inflammatory response (Figure 2). Boxplot diagram of Midkine level between Active disease and remission ROC curve of midkine level in the diagnosis of SLE Analysis result using the ROC curve obtained that cut off serum Midkine was >569pg/ml. The area under the curve (AUC) was 75.1% (p<0.001) with sensitivity and specificity of Midkine to predict diagnosis SLE were 70% and 60%. Positive Prediction Value (PPV), Negative Prediction Value (NPV), Positive Likelihood ratio (PLR), and Negative Likelihood Ratio (NLR) were 58.3%, 71.4%, 1.75 and 0.5 respectively (Table 3).
Table 3

Accuracy of Midkine in the diagnosis of SLE

Cut offSensitivitySpecificityPPVNPVPLRNLRAccuracy
Midkine>569 pg/ml70%60%58.3%71.4%1.750.575.1%
Accuracy of Midkine in the diagnosis of SLE

Discussion

SLE pathogenesis is closely related to the regulation of T lymphocytes. Regulatory T (Treg) cells are a subset of CD4+ T cells that maintain self-tolerance by suppressing autoreactive lymphocytes. Treg cells are required to restore the disturbed immune homeostasis in SLE, and the failure of Treg is related to the persistent inflammatory cytokine. Defects in Treg cells or a lack of Treg cells are contributed to SLE pathogenesis [13] [14]. The previous study explained that there was a negative correlation between Tregs and disease activity of SLE [15]. Midkine (MK) derived from CD4+ T cells has a role in promoting cell proliferation, cell survival, migration cells, and antiapoptotic activity in the nervous system, cancer and inflammation area. In inflammation process, MK induces cytokines and modulates migration of neutrophils and macrophages. MK activates T splenocytes, Th1 cell differentiation and has functioned as a negative immune modulator of Tregs in peripheral lymph nodes [16]. Inhibition of MK leads to an increase in Treg expansion and then suppresses the autoreactive Th1 cell population thus causing the reduced severity of the autoimmune disease [8]. This study examined Midkine serum level in SLE patients and healthy control. Median Midkine levels in this study were 658 (502-795) pg/ml and 510 (370-750) pg/ml in SLE patient group and healthy control group. Our result was comparable to a study conducted by Wu GC et al., that reported median Midkine levels were 698.37 (516.09-767.07) pg/ml and 628.22 (373.66-712.41) pg/ml in SLE patients and healthy control group. Our study result was consistent with Wu GC et al. that Midkine serum levels were significantly increased in SLE patient (P < 0.05) [17]. Elevated Midkine serum level also occurs in other autoimmune diseases such as rheumatoid arthritis and multiple sclerosis [10] [18]. Our result was consistent with Wu et al. that there was no significant difference in serum Midkine levels in SLE patients with and without the renal disorder (P > 0.05). But, there was a significant difference in serum Midkine levels between flare and remission in our result (P = 0.018) contrary to a previous study (P > 0.05) [17]. In Rheumatoid Arthritis (RA), Shindo et al. reported that MK level could be a biomarker of RA disease activity. There was correlation between serum MK and RA disease activity (DAS28-ESR) (r = 0.223, P = 0.019) [10]. Same result in Crohn’s Disease and Ulcerative Colitis that serum MK level was positive associated with Disease Activity Index [19] [20]. Midkine plays an important role in the pathogenesis of autoimmune diseases including SLE. Inhibiting Midkine can be useful to reduce the disease activity of autoimmune disease. In this study, cut off serum Midkine (> 569 pg/ml) had a moderately accuracy to predict SLE (AUC > 70%) and a higher accuracy level than previous study [17]. This study has some limitations. MEX-SLEDAI was used to assess the disease activity of SLE. MEX-SLEDAI was more simple but has a lower accuracy compared to the SLEDAI score. This study didn’t compare the difference of Midkine levels with blood disorders group or neuropsychiatry disorder group of SLE patients. Further studies are required with larger samples to determine the role of Midkine as a predictive marker to diagnose SLE. In conclusion, elevated Midkine serum level could be a marker of SLE disease activity and have a role in the pathogenesis of SLE.
  18 in total

1.  The growth factor midkine may play a pathophysiological role in rheumatoid arthritis.

Authors:  Emiko Shindo; Toshihiro Nanki; Natsuko Kusunoki; Kotaro Shikano; Mai Kawazoe; Hiroshi Sato; Kaichi Kaneko; Sei Muraoka; Makoto Kaburaki; Yoshikiyo Akasaka; Hideaki Shimada; Tomoko Hasunuma; Shinichi Kawai
Journal:  Mod Rheumatol       Date:  2016-05-10       Impact factor: 3.023

2.  Growth Factor Midkine Promotes T-Cell Activation through Nuclear Factor of Activated T Cells Signaling and Th1 Cell Differentiation in Lupus Nephritis.

Authors:  Tomohiro Masuda; Kayaho Maeda; Waichi Sato; Tomoki Kosugi; Yuka Sato; Hiroshi Kojima; Noritoshi Kato; Takuji Ishimoto; Naotake Tsuboi; Kenji Uchimura; Yukio Yuzawa; Shoichi Maruyama; Kenji Kadomatsu
Journal:  Am J Pathol       Date:  2017-02-07       Impact factor: 4.307

Review 3.  Regulatory T cells in systemic lupus erythematosus.

Authors:  Kim Ohl; Klaus Tenbrock
Journal:  Eur J Immunol       Date:  2014-12-15       Impact factor: 5.532

4.  Midkine inhibits inducible regulatory T cell differentiation by suppressing the development of tolerogenic dendritic cells.

Authors:  Yoshifumi Sonobe; Hua Li; Shijie Jin; Satoshi Kishida; Kenji Kadomatsu; Hideyuki Takeuchi; Tetsuya Mizuno; Akio Suzumura
Journal:  J Immunol       Date:  2012-02-08       Impact factor: 5.422

Review 5.  Midkine and pleiotrophin: two related proteins involved in development, survival, inflammation and tumorigenesis.

Authors:  Takashi Muramatsu
Journal:  J Biochem       Date:  2002-09       Impact factor: 3.387

6.  Midkine in plasma as a novel breast cancer marker.

Authors:  Mutsuko Ibusuki; Hiromi Fujimori; Yutaka Yamamoto; Kazutoshi Ota; Mitsuharu Ueda; Satoru Shinriki; Masahiro Taketomi; Sadatoshi Sakuma; Masanori Shinohara; Hirotaka Iwase; Yukio Ando
Journal:  Cancer Sci       Date:  2009-06-01       Impact factor: 6.716

7.  Inhibition of midkine alleviates experimental autoimmune encephalomyelitis through the expansion of regulatory T cell population.

Authors:  Jinyan Wang; Hideyuki Takeuchi; Yoshifumi Sonobe; Shijie Jin; Tetsuya Mizuno; Shin Miyakawa; Masatoshi Fujiwara; Yoshikazu Nakamura; Takuma Kato; Hisako Muramatsu; Takashi Muramatsu; Akio Suzumura
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-04       Impact factor: 11.205

8.  Clinical relevance of circulating midkine in ulcerative colitis.

Authors:  Malgorzata Krzystek-Korpacka; Katarzyna Neubauer; Malgorzata Matusiewicz
Journal:  Clin Chem Lab Med       Date:  2009       Impact factor: 3.694

Review 9.  Midkine in inflammation.

Authors:  Ludwig T Weckbach; Takashi Muramatsu; Barbara Walzog
Journal:  ScientificWorldJournal       Date:  2011-12-27

Review 10.  Cytokine disturbances in systemic lupus erythematosus.

Authors:  Noam Jacob; William Stohl
Journal:  Arthritis Res Ther       Date:  2011-07-06       Impact factor: 5.156

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1.  Human macrophages and monocyte-derived dendritic cells stimulate the proliferation of endothelial cells through midkine production.

Authors:  Elias A Said; Sumaya Al-Dughaishi; Wadha Al-Hatmi; Iman Al-Reesi; Marwa Al-Riyami; Mohammed S Al-Balushi; Atika Al-Bimani; Juma Z Al-Busaidi; Murtadha Al-Khabori; Salam Al-Kindi; Francesco A Procopio; Afrah Al-Rashdi; Aliyaa Al-Ansari; Hamza Babiker; Crystal Y Koh; Khalid Al-Naamani; Giuseppe Pantaleo; Ali A Al-Jabri
Journal:  PLoS One       Date:  2022-04-27       Impact factor: 3.752

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