Home An evaluation of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with Henoch-Schönlein purpura
Article Publicly Available

An evaluation of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with Henoch-Schönlein purpura

  • Nilgun Selcuk Duru ORCID logo EMAIL logo , Kamil Sahin ORCID logo , Cihan Coskun ORCID logo , Ala Üstyol , Murat Elevli and Macit Koldas
Published/Copyright: October 12, 2019

Abstract

Objective

Henoch-Schönlein purpura (HSP) is characterized by generalized vasculitis. The etiopathogenesis of the disease is unknown, but inflammation and endothelial dysfunction have been held responsible. Therefore, herein we investigated serum levels of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with HSP.

Materials and methods

Twenty six patients with HSP and 26 healthy children were included in the study. Routine biochemical tests and laboratory parameters showing inflammation, coagulation, and endothelial cell damage were examined in all subjects.

Results

White blood cell (WBC) number, C-reactive protein (CRP) level, erythrocyte sedimentation rate (ESR), neutrophil/lymphocyte rate (NLR), triglyceride, immunoglobulin A (IgA), and C3 were significantly higher in children with HSP than the controls. HDL and albumin levels were lower in the patients with HSP. Endocan levels were not significantly different between the HSP and control groups (p = 0.884). Serum endocan levels in patients with HSP were inversely correlated only with activated partial thromboplastin time (APTT) (r = −0.485, p = 0.012).

Conclusion

Coagulation abnormalities and increased acute phase reactants were present in patients with HSP while no difference was determined in endocan levels.

Öz

Amaç

Henoch-Schönlein purpurası (HSP) jeneralize vaskülit ile karakterizedir. Hastalığın etiyopatogenezi bilinmemekte olup inflamasyon ve endotelyal disfonksiyon sorumlu tutulmaktadır. Bu nedenle çalışmamızda HSP’li çocuklarda endotel hücre hasarı, inflamasyon ve pıhtılaşmayı belirten bazı biyobelirteçlerin serum düzeyleri araştırılmıştır.

Gereç ve Yöntem

Çalışmaya HSP’li 26 hasta ve kontrol grubu olarak 26 sağlıklı çocuk dahil edildi. Tüm olgularda rutin biyokimyasal testler ve inflamasyon, koagülasyon ve endotel hücre hasarını gösteren laboratuvar verileri analiz edildi.

Bulgular

HSP’li çocuklarda beyaz kan hücresi (WBC) sayısı, C-reaktif protein (CRP) düzeyi, eritrosit sedimentasyon hızı (ESH), nötrofil/lenfosit (NLR) oranı, trigliserit, immünoglobulin A (IgA) ve C3 kontrol grubundan anlamlı olarak yüksek bulundu. HDL ve albümin düzeyleri ise HSP’li hastalarda daha düşüktü. Endocan düzeyleri açısından gruplar arasında anlamlı farklılık saptanmadı (p = 0.884). Serum endokan düzeyleri sadece aktive parsiyel tromboplastin zamanı (APTT) ile ters korele bulundu (r = −0.485, p = 0.012).

Sonuç

HSP’li çocuklarda koagülasyon anormallikleri ve artmış akut faz reaktanları gözlenirken, bir endotel disfonksiyon belirteci olan endokan düzeylerinde anlamlı farklılık saptanmadı.

Introduction

Henoch-Schönlein purpura (HSP) is one of the most common vasculitic syndromes. The clinical manifestation is variable and characterized by non-thrombocytopenic cutaneous palpable purpura, joint manifestations, gastrointestinal (GI) findings, and hematuria/proteinuria [1]. The disease is usually self-limiting, but can rarely cause severe renal disease. Although HSP has been known for many years, the etiopathogenesis is not still clear. However, it has been proposed that vascular inflammation and endothelial dysfunction may play an important role in the pathogenesis [2], [3], [4].

HSP is an immune-mediated inflammatory disease. IgA deposition in vessel walls leads to endothelial cell damage and cytokines secretion [1]. The coagulation system and fibrinolysis are thus activated. Several studies have reported biochemical markers indicating endothelial cell damage or hemostatic parameters in HSP patients [5], [6], [7], [8], [9], [10].

Endocan is excreted from vascular endothelial cells, renal distal tubule cells, and bronchi [11], [12], [13]. Endocan has recently been investigated in various pathological processes, such as cancer, infections and rheumatological diseases [11], [12], [13], [14], [15]. Tumor necrosis factor alpha (TNF-α) and vascular endothelial growth factor (VEGF) stimulate endocan expression and secretion from endothelial cells [13]. Increased levels of both have been observed in patients with HSP [10], [16]. We therefore presumed that endocan may be a vascular endothelium damage biomarker for HSP.

Our aim in this study was to investigate various inflammation and coagulation parameters and endocan as endothelial dysfunction markers in children with HSP and to compare these with healthy children. We also examined the relationship between endocan and clinical findings and laboratory tests in patients with HSP.

Materials and methods

Patient selection

This case-control study was performed in the pediatric clinic of our hospital between February, 2016, and January, 2017. The study included 26 patients (mean age 7.4±3.3 years) with HSP and 26 healthy children (mean age 6.7±2.8 years) as a control group. Diagnosis of HSP was based on European League against Rheumatism/Pediatric Rheumatology European Society (EULAR/PRES) classification criteria for HSP [17]. HSP was diagnosed in patients with non-thrombocytopenic palpable purpura as mandatory criterion and in the presence of at least one of diffuse abdominal pain, any biopsy showing IgA deposition, joint findings or renal involvement. Patients’ clinical characteristics (age, gender and clinical course) are summarized in Table 1.

Table 1:

Demographic features and clinical findings in patients with HSP and control subjects.

ParametersHSP (n=26)Controls (n=26)p-Value
n%n%
Gender
 Male1453.81661.50.575a
 Female1246.21038.5
Median (min–max)Median (min–max)
Age
 Years7 (2–17)7 (2–13)0.555b
Season
 Spring311.5
 Summer726.9
 Fall934.6
 Winter726.9
Clinical findings rash
 Absent00.0
 Present26100.0
 Arthralgia/arthritis
  Absent1765.4
  Present934.6
 GI manifestations
  Absent519.2
 Abdominal pain
  Present1246.2
 GI bleeding
  Present934.6
 Renal involvement
  Absent2076.9
  Present623.1
Other
 Present27.7
Treatment
 NSAID2076.9
 Steroid1142.3
  1. HSP, Henoch-Schönlein purpura; Min, minimum; Max, maximum; GI, gastrointestinal; NSAID, nonsteroidal anti-inflammatory drug. aχ2 test, bMann-Whitney U test.

Patients with other forms of systemic vasculitis, diabetes mellitus, hypertension, thyroid dysfunction, hematological disorders, known malignancy, infection, liver or kidney disease were not taken into the study. The control group was selected from patients with no known acute or chronic disease attending our pediatric clinic for other reasons. The study was accordance with the Helsinki Declaration. It was approved by the local Ethics Committee (Approval No. 03/02/2016-328). All participants provided written informed consent.

Renal involvement was defined as the presence of any hematuria and/or proteinuria. Arthralgia or arthritis were determined as joint manifestations. GI manifestations were diffuse abdominal pain and/or GI bleeding, or a positive test for occult blood in faeces.

Biochemical analysis

Blood samples were collected (without stasis after morning fasting) from all participants and placed into tubes with gel, and tubes containing K2EDTA (Becton Dickinson, UK) on the first day of admission. Serum samples placed into tubes with gel were allowed to clot before centrifugation. Following centrifugation for 10 min at 1000 g, the serum was aliquoted and kept at −70°C until the day of study.

Compete blood count parameter analysis was performed using the Sysmex XE-2100 hematology system (TOA Medical Electronics, Kobe, Japan). The neutrophil/lymphocyte ratio (NLR) was calculated as a ratio between absolute neutrophil and absolute lymphocyte counts. Serum C-reactive protein (CRP) levels, immunoglobulin and complements (C3, C4) were measured using an immune turbidimetric method with an AU-2700 autoanalyzer (Beckman Coulter, USA). Other biochemical tests were determined using a spectrophotometric method with an AU-2700 autoanalyzer (Beckman Coulter, USA). Blood samples for coagulation tests were provided using 3.2% concentration citrate anticoagulant. Plasma was prepared shortly after blood collection by centrifugation at 1000 g for 10 min, and was then tested. Coagulation tests were measured by chromogenic assay using the ACL TOP 500 autoanalyzer (Beckman/Instrumentation Laboratory). Stool occult blood was assessed using the immunochromatographic rapid test (Standard Diagnostics Inc., South Korea). After centrifugation for 5 min at 600 g, urine samples were tested using a Urised II & Labumat II autoanalyzer (77 ElektronikaKft, Budapest, Hungary).

Human endocan measurements

Endocan concentrations were evaluated with the sandwich enzyme-linked immunosorbent assay (ELISA) method. The manufacturer’s recommendations were properly applied for tests. Evaluations were performed using a Bio-tek Synergy HT (BioTek Instrument Inc., Winooski, VT, USA) ELISA plate reader. The results were expressed as pg/mL. The reference range of serum endocan was 15.63 to 1000 pg/mL. The coefficients of variation were 10% and 12% for intra- and inter-assay precision, respectively. The lower limit of detection for endocan was 6.9 pg/mL.

Statistical analysis

Statistical analysis was carried out on SPSS 15.0 software. Numbers and percentages were used to express categorical variables, and mean and standard deviation or median (minimum–maximum) were used for numerical variables. The Kolmogorov-Smirnov and Shapiro-Wilk tests were used to determine the normal distribution. The Mann-Whitney U test or Student t test were for comparisons between two groups, depending on the sample distribution. Comparisons between more than two groups were carried out using the Kruskal-Wallis test again depending on the sample distribution. Multivariate logistic regression analysis was performed to determine odds ratio at 95% confidence interval (CI). Categorical variables were compared using the χ2 test. Monte Carlo simulation was performed in boundary conditions. Pearson and Spearman correlation analysis were used to evaluate relations between variables. p<0.05 was regarded as the alpha (α) significance level.

Results

Patient characteristics

The mean age of the patients was 7.4±3.3 years, and the mean age of the controls 6.7±2.8 years. The difference was not statistically significant (p=0.555). The HSP group consisted of 14 boys (53.8%) and 12 girls (46.2%), and the control group of 16 boys (61.5%) and 10 girls (38.5%). Sex distributions were similar between the groups (p=0.575). Disease onset occurred in all seasons, but with the highest incidence being reported during the fall (34.6%). The second highest incidence was observed during summer and winter (26.9%) (Table 1).

Clinical manifestations

Of the children with HSP, rash was present in 26 (100%), arthralgia/arthritis in 9 (34.6%), abdominal pain and GI bleeding in 9 (34.6%), abdominal pain only in 12 (46.2%), renal findings in 6 (23.1%). Twenty children were treated with non-steroidal anti-inflammatory drugs and 11 received steroids. Participants’ clinical characteristics are presented in Table 1.

Laboratory tests

Following laboratory evaluation, significant mean erythrocyte sedimentation rate (ESR) (p=0.030), CRP (p=0.001), white blood cell (WBC) (p=0.025), NLR (p=0.02), D-dimer (p<0.001), triglyceride (p=0.043), globulin (p=0.014), IgA (p=0.001), and C3 (p<0.001) value elevations were determined in the patients compared to the healthy controls. Mean HDL and albumin values were significantly lower in the patients than in the healthy controls. Patients’ mean endocan levels were 809.4±430.4 pg/mL, and were similar to those of the control group (775.6±374.1 pg/mL; p=0.884). Differences in other parameters between the groups were not significant. The results of these comparisons are given in Table 2.

Table 2:

Comparison of laboratory parameters between patients and controls.

Patients (n=26)Controls (n=26)p-Value
Endocan (pg/mL) median (min–max)698 (118–1867)717 (236–1722)0.884a
CRP (mg/L) mean±SD8.5 (0.0–34.2)0.7 (0.1–19.3)0.001
ESR (mm/h) mean±SD27±1320±80.030
Leucocyte (/mm3) median (min–max)10,435±34108430±27450.025a
Neutrophil/lymph, median (min–max)1.88 (0.59–6.96)1.01 (0.35–4.21)0.002a
HCT (%) mean±SD35.5±2.736.8±2.40.067
HB (g/L) mean±SD12.1±1.112.6±0.70.069
PLT (/mm3) mean±SD344,384±64,670307,961±82,9440.084
MPV (fL) mean±SD9.6±0.810.0±0.90.121
PDW (%) mean±SD10.9±1.611.8±1.70.076
PTT (s) mean±SD11.8±1.011.7±0.70.837
INR (s) mean±SD0.98±0.080.99±0.060.790
APTT (s) mean±SD25.1±3.326.3±2.80.150
Fibrinogen (mg/dL) mean±SD329±68307±690.258
D-dimer (ng/mL) median (min–max)1540 (324–6960)280 (92–635)<0.001a
Urea (mg/dL) median (min–max)24 (12–47)21 (11–37)0.134a
Creatinine (mg/dL) mean±SD0.38±0.120.44±0.170.336
Cholesterol (mg/dL) mean±SD150±23159±300.282
Triglyceride (mg/dL) median (min–max)94 (37–413)71 (36–173)0.043a
LDL (mg/dL) mean±SD84±1889±240.377
HDL (mg/dL) mean±SD44±953±130.008
Albumin (g/dL) mean±SD3.97±0.334.41±0.31<0.001
Globulin (g/dL) mean±SD2.94±0.432.64±0.420.014
IgG (mg/dL) median (min–max)1002 (545–1859)943 (431–1564)0.142a
IgE (IU/mL) median (min–max)64 (7–1133)65 (4–862)0.585a
IgM (mg/dL) median (min–max)89 (40–176)109 (52–249)0.407a
IgA (mg/dL) mean±SD169±59112±500.001
C3 (mg/dL) mean±SD148±15123±15<0.001
C4 (mg/dL) median (min–max)31 (8–234)29 (10–44)0.095a
  1. CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; HCT, hematocrit; HB, hemoglobin; PLT, platelet; MPV, mean platelet volume; PDW, platelet distribution width; PTT, prothrombin time; INR, international normalized ratio; APTT, activated partial thromboplastin time; LDL, low-density lipoprotein; HDL, high-density lipoprotein; Ig, Immunoglobulin; C, complement. All variables are showed as mean±SD (Standard Deviation) or median (minimum–maximum) for continuous data with or without a normal distribution, respectively. aMann-Whitney U test. All other Student t test. Bold values indicate statistical significance at the p<0.05 level.

The receiver operating characteristic (ROC) curves for biochemical parameters are shown in Figure 1. The areas under the curve of D-dimer, NLR, IgA and C3 were 0.94, 0.74, 0.74 and 0.89, respectively. Our multivariate analysis, increased IgA, NLR, CRP, C3, D-dimer levels, and decreased albumin level were not related to HSP (Table 3). Serum endocan concentrations were inversely correlated with activated partial thromboplastin time (APTT) (r=−0.485, p=0.012), but did not correlate with other parameters.

Figure 1: Receiver–operating characteristic (ROC) curve of the RDW for predicting HSP Henoch-Schonlein purpura. Areas under the curve of D-dimer, NLR, IgA and C3 are indicated by bold values.
Figure 1:

Receiver–operating characteristic (ROC) curve of the RDW for predicting HSP Henoch-Schonlein purpura. Areas under the curve of D-dimer, NLR, IgA and C3 are indicated by bold values.

Table 3:

Logistic regression analysis of some biomarkers.

Risk factorp-ValueOR95% CI
IgA increase0.4221.0970.875–1.375
NLR increase0.36456.5390.009–341257.247
CRP increase0.5171.1670.731–1.863
C3 increase0.5830.9250.702–1.220
D dimer increase0.3931.0410.950–1.141
Albumin decrease0.5440.0450.000–990.097
  1. CI, Confidence interval; CRP, C-reactive protein; NLR, neutrophil/lenfocyte rate; OR, odds ratio.

No relation was determined between endocan and clinical findings in patients with HSP (Table 4).

Table 4:

Relationships between endocan and clinical findings in patients.

nEndocan (pg/mL)p-Value
Gender
 Male14959±4910.046
 Female12634±271
Season
 Spring3814±2060.733a
 Summer7810±616
 Autumn9709±265
 Winter7934±500
Clinical findings rash
 Present26807±405
 Arthralgia/arthritis
  Absent17813±5000.975
  Present9690±518
 Abdominal pain
  Absent5812±4450.649a
 Abdominal pain without GI bleeding
  Present12856±412
 Abdominal pain with GI bleeding
  Present9752±368
 Renal
  Absent201000±5950.223
  Present6765±409
Treatment NSAİ
 Absent6629±3800.251
 Present20863±438
 Steroid
  Absent15738±3620.339
  Present11905±511
Urine analysis
 Normal20753±3390.710
 >5 Erythrocyte hematuria
  Present6808±525
Fetal occult blood
 Negative17807±4360.979
 Positive9812±445
  1. GI, Gastrointestinal; NSAID, nonsteroidal anti-inflammatory drug. All variables are showed as mean±SD. aKruskal-Wallis test – all other Student t test. Bold value indicate statistical significance at the p<0.05 level.

Discussion

HSP is a small vessel vasculitis drew on by IgA-immune deposits, complement proteins and neutrophil infiltration [2]. IgA is the most important component of the immune deposits in HSP. IgA is able to activate complements by inducing the alternative complement pathways and mannan-binding lectin. It is also capable of binding to some receptors, the most important of which is FcαRI, which is capable of inducing pro-inflammatory reactions such as phagocytosis, neutrophil migration, formation of reactive oxygen species (ROS), cytokine secretion and the release of neutrophil extracellular traps [2]. Proinflammatory factors, such as TNF-α, interleukin-1, interleukin-6, transforming growth factor (TGF)-b, VEGF, and chemokines are secreted as a result of inflammation and endothelial cell damage in HSP [8], [10], [16], [18].

Studies have shown high D-dimer levels in patients with HSP [5], [9]. Hyperfibrinolysis secondary to endothelial damage has also been reported in patients with HSP [10]. Activation of inflammation causes the coagulation system to be activated. There are two suppositions on this subject; the one of them is that the circulating immune complexes act on the endothelial cells, and plasminogen proactivators are secreted. The other supposition is that proteolytic enzymes are secreted from inflammatory tissue cells, and these increase D-dimers [5], [19].

This study measured various biomarkers in patients with HSP and healthy controls – inflammatory factors as CRP, ESR, WBC, NLR, albumin and globulin, immunological markers including IgA, IgM, IgE and IgG, vascular permeability-related biomarkers such as C3 and C4, coagulation parameters including platelets, MPV, PDW, PT, APTT, D-dimer and fibrinogen, and endothelial dysfunction markers such as endocan and lipid profiles, and also performed other routine tests such as urea and Hb. CRP, ESR, WBC, NLR, globulin, C3 and IgA values were significantly higher, while albumin values were lower in patients with HSP than in the controls. CRP, ESR and WBC are non-specific markers of inflammatory activity. Previous studies have reported high levels of inflammatory parameters in patients with HSP [7], [20], [21], [22]. The NLR is a useful marker in inflammatory diseases. Various studies have reported that high blood NLR is associated with HSP [23], [24], [25]. Lymphocyte apoptosis lead to decreased lymphocytes and increased NLR in inflammation [25]. NLR may be useful in predicting organ involvement in HSP [23], [24]. However, contradictory have been reported on the role of the NLR in HSP [25]. Further investigations are therefore needed to assess its true value.

We also observed a significant increase in serum levels of D-dimer in HSP patients. However, platelets, PT and aPTT, standard coagulation tests, were within reference ranges. These results suggest that activated coagulation is secondary to the endothelial inflammation stimulated by IgA immune deposits in patients with HSP [10]. Wang et al. [19] reported raised D-dimer level as a risk factor for renal damage in patients with HSP. Our multivariate logistic regression analysis did not showed an association between raised D-dimer level and HSP. However, our patient group included all HSP patients with and without renal involvement. The number of patients with renal involvement was low and no multivariate logistic regression analysis could be performed in this group.

Recent studies have showed that IgA autoantibodies, which are cross-reactive with endothelial cells, are present in patients with HSP [7]. Only a few studies to date have investigated parameters that may show endothelial cell damage [3], [6], [10], [26]. These studies have frequently investigated Factor XIII and von Willebrand factor as markers of endothelial damage [3]. One previous study reported high von Willebrand antigen and low Factor XIII levels in patients with HSP [3], [6]. Söylemezoglu et al. [6] reported significantly increased von Willebrand factor during the acute phase of HSP and that this correlated well with CRP in the active phase, suggesting that this maybe a good indicator of vascular inflammation and endothelial damage.

The present study investigated endocan, a marker of epithelial cell damage, in patients with HSP. Endocan is associated with endothelial dysfunction [13]. Interaction between endocan and adhesion molecules causes transport of leukocytes to regions of inflammation and subsequent endothelial dysfunction [14]. High levels of endocan have been showed in the rheumatological diseases, including Behcet’s disease, systemic lupus, and systemic sclerosis [13], [14], [15]. Balta et al. [13] observed significantly higher serum endocan levels in patients with Behçet’s disease. CRP, ESR and disease activity correlated positively with endocan in these patients [13].

In our study, endocan levels were similar in the patients with HSP and the controls. We observed no correlation between endocan and other laboratory parameters. However, positive correlation was determined between APTT and endocan. No relation was determined between endocan and clinical findings.

HDL-C levels in our study were lower in patients with HSP than in the control group, but no correlation was determined with endocan. HDL exhibits anti-inflammatory, antithrombotic, and antioxidant effects. It also protects against atherosclerosis and endothelial dysfunction [14].

There are some limitations of our study. First, it is the small sample size. This may explain why no difference was determined between endocan levels in the two groups. Second, most of the HSP patients in our study were mild cases. Lastly, Factor XIII and von Willebrand Factor could not be determined due to our financial limitations.

In conclusion, endocan may be a useful predictor of endothelial dysfunction in patients with HSP. However, our results do not provide supportive evidence for an association between endocan and HSP. To the best of our knowledge, this is the first study to investigate endocan in children with HSP. Further studies of endocan involving a larger sample population are now needed. This will help clarify the possible role of endocan in the pathogenesis of HSP.

Acknowledgment

This study received partial financial support from the Haseki Training and Research Hospital.

  1. Author contributions: Concept Nilgun Selcuk Duru (NSD), Kamil Sahin (KS), Ala Ustyol (AU); Design NSD, Murat Elevli (ME), AU; Supervision NSD, ME; Data collection NSD, KS, Cihan Coskun (CC), Macit Koldas (MK); Analysis NSD, MK, CC; Literature search NSD, AU, KS; Writing NSD; Critical Review NSD, ME, MK, KS.

  2. Conflict of interest: The authors have no conflict of interest.

References

1. Yang YH, Tsai IJ, Chang CJ, Chuang YH, Hsu HY, Chiang BL. The interaction between circulating complement proteinsand cutaneous microvascular endothelial cells in the development of childhood Henoch-Schönlein purpura. PLoS One 2015;10:e0120411.10.1371/journal.pone.0120411Search in Google Scholar PubMed PubMed Central

2. Heineke MH, Ballering AV, Jamin A, Ben Mkaddem S, Monteiro RC, Van Egmond M. New insights in the pathogenesis of immunoglobulin a vasculitis (Henoch-Schönlein purpura). Autoimmun Rev 2017;16:1246–53.10.1016/j.autrev.2017.10.009Search in Google Scholar PubMed

3. De Mattia D, Penza R, Giordano P, Del Vecchio GC, Aceto G, Altomare M, et al. Von Willebrand factor and factor XIII in children with Henoch-Schonlein purpura. Pediatr Nephrol 1995;9:603–5.10.1007/BF00860949Search in Google Scholar PubMed

4. ButbulAviel Y, Dafna L, Pilar G, Brik R. Endothelial function in children with a history of henochschonleinpurpura. Pediatr Rheumatol Online J 2017;15:3.10.1186/s12969-016-0135-zSearch in Google Scholar PubMed PubMed Central

5. Brendel-Müller K, Hahn A, Schneppenheim R, Santer R. Laboratory signs of activated coagulation are common in Henoch-Schönlein purpura. Pediatr Nephrol 2001;16:1084–8.10.1007/s004670100033Search in Google Scholar PubMed

6. Söylemezoglu O, Sultan N, Gursel T, Buyan N, Hasanoglu E. Circulating adhesion molecules ICAM-1, E-selectin, and von Willebrand factor in Henoch-Schonlein purpura. Arch Dis Child 1996;75:507–11.10.1136/adc.75.6.507Search in Google Scholar PubMed PubMed Central

7. Hong J, Yang HR. Laboratory markers indicating gastrointestinal involvement of henoch-schönlein purpura in children. Pediatr Gastroenterol Hepatol Nutr 2015;18:39–47.10.5223/pghn.2015.18.1.39Search in Google Scholar PubMed PubMed Central

8. Fessatou S, Nicolaidou P, Gourgiotis D, Georgouli H, Douros K, Moustaki M, et al. Endothelin 1 levels in relation to clinical presentation and outcome of Henoch Schonlein purpura. BMC Pediatr 2008;8:33.10.1186/1471-2431-8-33Search in Google Scholar PubMed PubMed Central

9. Reakatanan W, Kadegasem P, Chunharas A, Tapaneya-Olarn W, Treepongkaruna S, Sirachainan N. High D-dimer Level in Henoch-Schönlein purpura with pancreatitis. Pancreas 2016;45:e4–5.10.1097/MPA.0000000000000455Search in Google Scholar PubMed

10. Del Vecchio GC, Penza R, Altomare M, Piacente L, Aceto G, Lassandro G, et al. Cytokine pattern and endothelium damage markers in Henoch-Schönlein purpura. Immunopharmacol Immunotoxicol 2008;30:623–9.10.1080/08923970801973646Search in Google Scholar PubMed

11. Yang J, Yang Q, Yu S, Zhang X. Endocan: a new marker for cancer and a target for cancer therapy. Biomed Rep 2015;3:279–83.10.3892/br.2015.438Search in Google Scholar PubMed PubMed Central

12. Seo K, Kitazawa T, Yoshino Y, Koga I, Ota Y. Characteristics of serum endocan levels in infection. PLoS One 2015;10:e0123358.10.1371/journal.pone.0123358Search in Google Scholar PubMed PubMed Central

13. Balta I, Balta S, Koryurek OM, Demirkol S, Mikhailidis DP, Celik T, et al. Serum endocan levels as a marker of disease activity in patients with Behcet disease. J Am Acad Dermatol 2014;70:291–6.10.1016/j.jaad.2013.09.013Search in Google Scholar PubMed

14. Icli A, Cure E, Cure MC, Uslu AU, Balta S, Mikhailidis DP, et al. Endocan levels and subclinical atherosclerosis in patients with systemic lupus erythematosus. Angiology 2016;67:749–55.10.1177/0003319715616240Search in Google Scholar PubMed

15. Bălănescu P, Lădaru A, Bălănescu E, Voiosu T, Băicuş C, Dan GA. Endocan, novel potential biomarker for systemic sclerosis: results of a pilot study. Clin Lab Anal 2016;30:368–73.10.1002/jcla.21864Search in Google Scholar PubMed PubMed Central

16. Topaloglu R, Sungur A, Baskin E, Besbas N, Saatci U, Bakkaloglu A. Vascular endothelial growth factor in Henoch-Schonlein purpura. J Rheumatol 2001;28:2269–73.Search in Google Scholar

17. Ozen S, Pistorio A, Iusan SM, Bakkaloglu A, Herlin T, Brik R, et al. EULAR/PRINTO/PRES criteria for Henoch-Schonlein purpura, childhood polyarteritis nodosa, childhood Wegener granulomatosis and childhood Takayasu arteritis: Ankara 2008. Part II: final classification criteria. Ann Rheum Dis 2010;69:798–806.10.1136/ard.2009.116657Search in Google Scholar PubMed

18. Yu HH, Liu PH, Yang YH, Lee JH, Wang LC, Chen WJ, et al. Chemokine MCP1/CCL2 and RANTES/CCL5 gene polymorphisms influence Henoch-Schönlein purpura susceptibility and severity. J Formos Med Assoc 2015;114:347–52.10.1016/j.jfma.2012.12.007Search in Google Scholar PubMed

19. Wang X, Zhu Y, Gao L, Wei S, Zhen Y, Ma Q. Henoch-Schönlein purpura with joint involvement: analysis of 71 cases. Pediatr Rheumatol Online J 2016;14:20.10.1186/s12969-016-0080-xSearch in Google Scholar PubMed PubMed Central

20. Teng X, Wang Y, Lin N, Sun M, Wu J. Evaluation of serum procalcitonin and C-reactive protein levels as biomarkers of Henoch-Schönlein purpura in pediatric patients. Clin Rheumatol 2016;35:667–71.10.1007/s10067-014-2773-1Search in Google Scholar PubMed

21. Cohen N, Mimouni FB, Friedel N, Amarilyo G. Predictors of hospital length of stay in pediatric Henoch-Schönlein purpura. Rheumatol Int 2015;35:1561–4.10.1007/s00296-015-3257-6Search in Google Scholar PubMed

22. Purevdorj N, Mu Y, Gu Y, Zheng F, Wang R, Yu J, et al. Clinical significance of the serum biomarker index detection in children with Henoch-Schonlein purpura. Clin Biochem 2018;52:167–70.10.1016/j.clinbiochem.2017.11.006Search in Google Scholar PubMed

23. Makay B, Gücenmez ÖA, Duman M, Ünsal E. Response to: mean platelet volume and neutrophil-to-lymphocyte ratio in patients with Henoch-Schonlein purpura. Rheumatol Int 2014;34:1337.10.1007/s00296-014-3098-8Search in Google Scholar PubMed

24. Park CH, Han DS, Jeong JY, Eun CS, Yoo KS, Jeon YC, et al. The optimal cut-off value of neutrophil-to-lymphocyte ratio for predicting prognosis in adult patients with Henoch-Schönlein purpura. PLoS One 2016;11:e0153238.10.1371/journal.pone.0153238Search in Google Scholar PubMed PubMed Central

25. Gayret OB, Erol M, Nacaroglu HT. The relationship of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio with gastrointestinal bleeding in Henoch-Schonlein purpura. Iran J Pediatr 2016;26:e8191.10.5812/ijp.8191Search in Google Scholar PubMed PubMed Central

26. Besbas N, Erbay A, Saatçi U, Ozdemir S, Bakkaloglu A, Ozen S, et al. Thrombomodulin, tissue plasminogen activator and plasminogen activator inhibitor-1 in Henoch-Schönlein purpura. Clin Exp Rheumatol 1998;16:95–8.Search in Google Scholar

Received: 2018-04-03
Accepted: 2019-05-17
Published Online: 2019-10-12
Published in Print: 2019-10-25

©2019 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Review Article
  3. Does vitamin D prevent radiotherapy-induced toxicity?
  4. Research Articles
  5. Compliance of medical biochemistry education in medical schools with national core education program 2014
  6. The importance of parathormone in determining the deficiency of vitamin D
  7. Association between serum vitamin D level and liver MRI T2 star in patients with β-thalassemia major
  8. Role of O-GlcNAcylation and endoplasmic reticulum stress on obesity and insulin resistance
  9. Effects of cellular energy homeostasis modulation through AMPK on regulation of protein translation and response to hypoxia
  10. Perceived barriers to diabetes management at home: a qualitative study
  11. The effect of automated hemolysis index measurement on sample and test rejection rates
  12. Identification of immune-related genes in thymus of breast cancer mouse model exposed to different calorie restriction
  13. Effect of xylitol on gut microbiota in an in vitro colonic simulation
  14. Fibrinopeptide-A and fibrinopeptide-B may help to D-dimer as early diagnosis markers for acute mesenteric ischemia
  15. Plasma homocysteine and aminothiol levels in idiopathic epilepsy patients receiving antiepileptic drugs
  16. Apelin-13 serum levels in type 2 diabetic obese women: possible relations with microRNAs-107 and 375
  17. An evaluation of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with Henoch-Schönlein purpura
  18. Enteroprotective effect of Tsukamurella inchonensis on streptozotocin induced type 1 diabetic rats
  19. The in vitro cytotoxicity, genotoxicity and oxidative damage potential of dapagliflozin, on cultured human blood cells
  20. Investigation and isolation of peptide based antiglycating agents from various sources
  21. Effect of skin-to-skin contact on the placental separation time, mother’s oxytocin and pain levels: randomized controlled trial
  22. The protective role of oleuropein against diethylnitrosamine and phenobarbital induced damage in rats
  23. Letter to the Editor
  24. ICD code specific reference ranges
Downloaded on 10.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/tjb-2018-0127/html
Scroll to top button