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Advances in Dermatology and Allergology/Postȩpy Dermatologii i Alergologii logoLink to Advances in Dermatology and Allergology/Postȩpy Dermatologii i Alergologii
. 2016 Jun 17;33(3):188–192. doi: 10.5114/pdia.2016.56930

Assessment of systemic inflammation with neutrophil-lymphocyte ratio in lichen planus

Hatice Ataş 1,, Bengü Çevirgen Cemil 1, Gökçe Işıl Kurmuş 1, Müzeyyen Gönül 1
PMCID: PMC4969409  PMID: 27512353

Abstract

Introduction

Lichen planus (LP) is a papulosquamous eruption of the skin and mucous membranes. Although the exact pathogenesis of the disease remains unclear, it is believed that LP represents an inflammatory disorder. Neutrophil-lymphocyte (N/L) ratio is considered a systemic inflammatory marker that correlated with severity of the diseases.

Aim

To investigate whether N/L ratio increases in LP and may be an independent severity marker for LP lesions.

Material and methods

White blood cell (WBC), neutrophil and lymphocyte counts, N/L ratio, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were statistically compared between the patient (n = 55) and the control group (n = 48). The relationship of N/L ratio and the body surface area (BSA) was assessed.

Results

Erythrocyte sedimentation rate and CRP were statistically higher in patients with LP than in controls (p < 0.0001). Our analysis revealed a significantly higher level of N/L ratio in patients with LP compared with controls, respectively (2.5 ±1.1 (1.2–7.3) vs. 1.4 ±0.4 (0.8–2.7), p < 0.0001). Body surface area (p = 0.001), CRP (p = 0.006), and ESR (p = 0.003) were identified as possible predictors of N/L ratio, but only BSA (p = 0.002) and ESR (p = 0.003) were found as significant independent predictors in a multiple linear regression model.

Conclusions

The inflammatory process in LP was supported by our results. N/L ratio may have an impact to show the inflammatory status in patients with LP as an inexpensive, simple and effective predictor. It may be used for the severity and treatment option of LP. But, N/L ratio and LP relationship could be confirmed by other large prospective studies.

Keywords: systemic, inflammation, neutrophil lymphocyte ratio, lichen planus

Introduction

Lichen planus (LP) is an uncommon skin and/or mucous membrane disorder that is assumed to be closely related to dyslipidemia and diabetes mellitus [1, 2]. In a case-control study, patients with lichen planus were found to have increased both metabolic and cardiovascular disorders in relation to controls, most probably due to long standing inflammation [3]. These findings support that LP is not only a chronic inflammatory disease restricted to the skin, but also a systemic one.

Biochemical and hematologic markers can help us show systemic inflammation; however, most of these markers are usually expensive and ineffective. Neutrophil-lymphocyte (N/L) ratio is considered a systemic inflammatory marker. There is a significant association between systemic inflammation measured by N/L ratio and prevalent chronic conditions [4]. The relationship between severity of disease and increased inflammatory response are supported in psoriasis and Behcet's disease [5, 6]. Neutrophil-lymphocyte ratio has not been evaluated in patients with LP yet.

Aim

In this study, we aim to investigate whether there is an inflammatory process in patients with LP, and clinical usefulness of N/L ratio which is considered and supported as a systemic inflammatory marker.

Material and methods

Subjects

This is a single-center and case-control study of 101 subjects (patients with LP = 55, controls = 48) who were admitted to the Department of Dermatology at Diskapi Yildirim Beyazit Training Hospital between January 2013 and July 2014. They were randomly selected from the dermatology clinic. Controls were randomly selected from healthy individuals or patients who were admitted to the dermatology clinic for minimal dermatological problems such as nevus in order to avoid bias to the study results. Approval for the study was obtained from the Institution Ethics Committee. Informed written consent was obtained from subjects.

Inclusion criteria for the study group were as follows: to be a newly diagnosed LP patient clinically and/or histopathologically, not undergoing any treatment for LP before the study, age older than 18 years, and willingness to give informed consent to participate in the study.

Exclusion criteria were as follows: patients suffering from chronic diseases such as hepato-renal disease, diabetes mellitus, cancer, allergic disease, thyroid dysfunction, taking some medicines or drugs affecting laboratory parameters, any drug therapy which may cause LP-like lesions, epithelial dysplasia and inflammatory or infection diseases in patients and controls.

Clinical data were recorded for each subject including age, sex, duration of disease, involvement site and body surface aera (BSA), C-reactive protein (CRP), white blood cells (WBC), neutrophil and lymphocyte counts, erythrocyte sedimentation rate (ESR). In controls, we evaluated CBC count, CRP, and ESR. We have considered the BSA as the severity of the disease.

Biochemical analyses

Blood samples were obtained by venipuncture. Complete blood counts were measured by the method of laser-based optic calorimetric, using an automated blood cell counter (Coulter LH 750 analyzer; Beckman Coulter, Galway, Ireland). N/L ratio was estimated as the ratio of the neutrophil to-lymphocyte counts. An automated erythrocyte sedimentation rate analyzer which is compatible with Westergreen method was used for ESR (0–20 mm/h). C-reactive protein reaction (< 1 mg/dl) levels were measured using the immunoturbidimetric method.

Statistical analysis

Statistical analyses were performed using the SPSS software version 15. Descriptive analyses were presented using mean ± standard deviation (SD) for the variables. Levene test was used to assess the homogeneity of the variances. Chi-square (χ2) or Fisher Exact test for ordinal and independent sample and T test or Mann-Whitney U test for scale were used to compare the variables between patients with LP and controls, where appropriate. The capacity of N/L ratio in predicting presence of the disease was analyzed using receiver operating characteristics (ROC) curve analysis. Correlation analysis was performed with Pearson or Spearmen according to homogeneity, where appropriate. When a significant cut-off value of N/L ratio was observed, the sensitivity, specificity, positive and negative predictive values were presented. The possible factors identified with univariate analyses were further entered into a multiple linear regression model which was used to identify independent predictors of N/L ratio, with backward selection. The model fit was assessed using appropriate residual and goodness-of-fit statistics. A p-value of less than 0.05 was considered to show a statistically significant result.

Results

Fifty-five patients with LP (female = 28, male = 27) and 48 controls (female = 25, male = 23) were enrolled to the study. Median ages of the patient and control groups were 46 years (range: 18–80) and 43 years (range: 19–74), respectively. No statistical difference between patients group and control group was found. Most of the involvement sites of LP were upper and lower extremities and trunk. The generalized type was the most common type (54.5%). Other clinical and laboratory findings in groups are given in Table 1. N/L ratio was found statistically significant among groups (patient group; 2.5 ±1.1 (1.2–7.3) vs. control group; 1.4 ±0.4 (0.8–2.7), p < 0.0001). The capacity of N/L ratio above 1.42 was found significant in predicting presence of LP (area under curve (AUC) = 0.91, 95% CI: 0.85–0.96, p < 0.0001) with 93% of sensitivity and 71% specificity. A moderate positive correlation was found between N/L ratio-CRP, N/L ratio-ESR, and N/L ratio-BSA (N/L ratio-CRP: r = 0.371, p = 0.006; N/L ratio-ESR: r = –0.40, p = 0.003; N/L ratio-BSA; r = 0.43, p = 0.01) (Table 2). Involvement area (β0 = 2.1, βBSA = 0.03, p = 0.001), CRP (β0 = 2.1, βCRP = 0.05, p = 0.006), and ESR (β0 = 1.8, βESR = 0.04, p = 0.003) were identified as possible predictors of NLR, but only BSA and ESR were found as significant independent predictors in a multiple linear regression model (β0 = 1.4, βESR: 0.04, p = 0.003; βBSA = 0.03, p = 0.002).

Table 1.

Clinical and laboratory results of subjects with lichen planus and controls

Parameter Patient group Control group P-value
Number of subjects, n 55 48
Gender: Male 37 (49%) 23 (48%) 0.906
Female 28 (51%) 25 (52%)
Types of lichen planus: Anulary 3 (5.5%)
Hypetrophic 2 (3.6%)
Genaralized 30 (54.5%)
Localized 20 (36.4%)
Involvement site: Upper extremity 45 (33.3%)
Lower extremity 42 (31.1%)
Trunk 31 (22.8%)
Plantar 6 (4.5%)
Palmary 3 (2.3%)
Inguinal 5 (3.8%)
Palpebral 2 (1.5%)
Axillary 1 (0.7%)
Involvement of nail: Yes 27 (49%)
No 28 (51%)
Involvement of mouth: Yes 27 (49%)
No 28 (51%)
Parameter Mean ± SD Median Range Mean ± SD Median Range P-value
Age [years] 46.1 ±12.6 46 18–80 44.7 ±11.9 43 19–74 0.577
Disease duration time [months] 10.8 ±18.2 6 0.5–96
BSA (%) 17.3 ±16.1 13 1–80
C-reactive protein [mg/dl] 8.7 ±8.3 5.7 1–38 3.7 ±3.2 3 1–22 < 0.0001
Erythrocyte sedimentation rate [mm/h] 19.2 ±10.9 17 5–51 11.9 ±6.2 11 2–22 < 0.0001
White blood cell [× 103/µl] 7.6 ±1.7 7.4 5.1–11 7.1 ±1.3 7.1 5.1–11 0.058
Neutrophile [× 103/µl] 4.8 ±1.4 4.4 2.8–8.6 3.5 ±0.8 3.4 2.2–5.9 < 0.0001
Lymphocyte [× 103/µl] 2.1 ±0.6 1.9 1–3.5 2.7 ±0.6 2.7 1.7–4.3 < 0.0001
Neutrophile/lymphocyte ratio 2.5 ±1.1 2.3 1.2–7.3 1.4 ±0.4 1.3 0.8–2.7 < 0.0001
Platelets [× 103/µl] 242 ±55.7 233 152–368 236 ±65.5 224 140–481 0.292

BSA – body surface area, SD – standard deviation.

Table 2.

Significant linear correlation analysis of some parameters in patients with lichen planus

Parameters r P-value
N/L ratio-ESR 0.40 0.003
N/L ratio-CRP 0.37 0.006
N/L ratio-BSA 0.43 0.01
ESR-CRP 0.59 < 0.0001
ESR-age 0.39 0.003
CRP-WBC 0.48 < 0.0001
ESR-WBC 0.51 < 0.0001
Platelets-WBC 0.38 0.003
Duration time-involvement of mouth 0.29 0.03
Involvement of nail/involvement of mouth 0.41 0.01

ESR – erythrocyte sedimentation rate, BSA – body surface area, CRP – C-reactive protein, r – correlation coefficient, N/L – neutrophile-lymphocyte, WBC – white blood cells.

Discussion

Lichen planus is a chronic inflammatory disease that affects the skin, genitalia, mucous membranes, and appendages [1, 7]. An immune-mediated mechanism may play a role in the pathogenesis of LP. Lichen planus is considered to be a T-cell mediated chronic inflammatory tissue reaction that results in a cytotoxic reaction against epithelial basal cells [8]. The pathogenesis of LP is related to upregulation of intercellular adhesion molecule-1 (ICAM-1) and Th1 immune response which is associated with cytokines such as interferon (IFN)-γ, tumor necrosis factor (TNF)-α, interleukin (IL)-1α, IL-6, and IL-8, IL-22, IL-17, IL-4 [913]. Toruniowa et al. found a significantly higher level of IL-6 in generalized cutaneous LP [14]. Immune reaction against an exogenous or endogenous antigen may be responsible at the onset of the disease by an aberrant immune response against to an intrinsic skin antigen. CD8+ T cells which are activated by antigens presented by keratinocytes, activated CD4+ helper T cells and their cytokines produced chemokines that attract additional inflammatory cells, thereby promoting continued inflammation [8]. Upregulation of matrix metalloproteinase, proinflammatory mediators and proteases of mast cells, and toll-like receptors are other factors that have been proposed as contributors to LP [8, 15]. Lichen planus is assumed to be closely related to dyslipidemia and diabetes mellitus [1, 2]. In a case-control study, patients with lichen planus were found to have increased both metabolic and cardiovascular disorders in relation to controls most probably due to long standing inflammation [3].

Although there is an inflammatory process, etiology and pathogenesis of LP are not fully understood yet. Yamamoto et al. reported that both lymphocyte and neutrophil functions were impaired, and that cellular immunosuppression was a pathologic characteristic of oral lichen planus (OLP) [16]. Decreases in CD8+ T cells and NK activity were also reported in OLP [17, 18]. Lukac et al. suggested that OLP seemed to be associated with functional changes of salivary neutrophils involved in, reflecting the different pathophysiological mechanisms of the disease [19]. These findings support that LP is not only a chronic inflammatory disease restricted to the skin, but also a systemic one.

Noninvasive biomarkers of inflammation with a prognostic value such as CRP, ESR, WBC, procalcitonin, neopterin, interleukin (IL)-6, IL-8, interferon-α, and TNF-α are widely used and have been evaluating for years to make accurate diagnosis, because the results of cultures, laboratory and radiologic evaluations may not always help the clinicians [2022]. These markers can help us to show systemic inflammation; however, most of these markers are usually expensive and ineffective to use in clinical practice. Thus, there is still a need for new simple, specific, and inexpensive biomarkers for diagnosis and follow-up of inflammatory diseases such as LP. The other problem is a difficulty to reach some markers in the hospital laboratory. The need for new markers with high sensitivity and specificity is remaining. Normally, CRP and ESR increase owing to inflammation to the high level. High levels of CRP and ESR with high N/L ratio can support the systemic inflammatory process in LP. Moreover, BSA is significant on N/L ratio. Increase in BSA, CRP and ESR were related to an increase in N/L ratio in our study. Our study showed that N/L ratio can be used for evaluating the inflammatory status and severity of disease in LP. In addition, understanding the role of neutrophils could help to clarify the pathogenesis of LP.

Neutrophil lymphocyte ratio is a simple and inexpensive index of systemic inflammatory burden that correlates with prognosis in distinct disease conditions such as acute coronary syndrome, acute pancreatitis, and ulcerative colitis [2325]. N/L ratio is considered as a systemic inflammatory marker. Because of this, systemic inflammation measured by N/L ratio has an association with prevalent chronic conditions [4]. N/L ratio was studied in various diseases including psoriasis and Behcet's disease. Relationship between severity of disease and increased inflammatory response are supported in these studies [5, 6]. Neutrophilia and lymphocytopenia is a physiological response of the innate immune system to systemic inflammation. A significant decrease in circulating lymphocyte count after systemic inflammation has been described [26]. The lymphocytopenia mechanism consist of margination of lymphocytes within the reticulo/endothelial system, liver and splanchnic lymphatic system and also redistribution of lymphocytes within the lymphatic system and marked accelerated apoptosis [27, 28]. There is dense lymphocytic inflammation of the skin in LP, so margination of lymphocytes within the skin from the blood system may cause reduction in lymphocytes in our patients with LP. Neutrophilia is the opposite phenomenon during systemic inflammation as a result of demargination of neutrophils and stimulation of stem cells by growing factors (G-CSF). Zahorec et al. reported that under pathologic conditions such as severe infection or systemic inflammation, the N/L ratio was increased and the severity of the clinical status and clinical outcome correlated well with the N/L ratio [29]. In our study, levels of WBC, neutrophil, N/L ratio, CRP, ESR except lymphocyte increased in patients with LP compared with controls. The rise in N/L ratio correlated with an increase in ESR, CRP, and BSA with high sensitivity and specificity. In addition, inflammatory parameters such as N/L ratio, WBC, CRP, ESR had a positive correlation with each other.

Conclusions

In this study we have shown that patients with LP have a higher N/L ratio than controls. This might be associated with a systemic inflammatory process in LP. N/L ratio may be recommended for the estimation of disease severity and treatment option. Future studies should be performed in a large series of patients with LP and also before and after treatment. Moreover, new biomarkers should be investigated.

Conflict of interest

The authors declare no conflict of interest.

References

  • 1.Arias-Santiago S, Buendia-Eisman A, Aneiros-Fernandez J, et al. Lipid levels in patients with lichen planus: a case-control study. J Eur Acad Dermatol Venereol. 2011;25:1398–401. doi: 10.1111/j.1468-3083.2011.03983.x. [DOI] [PubMed] [Google Scholar]
  • 2.Seyhan M, Ozcan H, Sahin I, et al. High prevalence of glucose metabolism disturbance in patients with lichen planus. Diabetes Res Clin Pract. 2007;77:198–202. doi: 10.1016/j.diabres.2006.12.016. [DOI] [PubMed] [Google Scholar]
  • 3.Saleh N, Samir N, Megahed H, Farid E. Homocysteine and other cardiovascular risk factors in patients with lichen planus. J Eur Acad Dermatol Venereol. 2014;28:1507–13. doi: 10.1111/jdv.12329. [DOI] [PubMed] [Google Scholar]
  • 4.Imtiaz F, Shafique K, Mirza SS, et al. Neutrophil lymphocyte ratio as a measure of systemic inflammation in prevalent chronic diseases in Asian population. Int Arch Med. 2012;26:2. doi: 10.1186/1755-7682-5-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bulbul Sen B, Rifaioglu EN, Ekiz O, et al. Neutrophil to lymphocyte ratio as a measure of systemic inflammation in psoriasis. Cutan Ocul Toxicol. 2014;33:223–7. doi: 10.3109/15569527.2013.834498. [DOI] [PubMed] [Google Scholar]
  • 6.Ozturk C, Balta S, Balta I, et al. Neutrophil-lymphocyte ratio and carotid-intima media thickness in patients with Behcet disease without cardiovascular involvement. Angiology. 2015;66:291–6. doi: 10.1177/0003319714527638. [DOI] [PubMed] [Google Scholar]
  • 7.Drogoszewska B, Chomik P, Polcyn A, Michcik A. Clinical diagnosis of oral erosive lichen planus by direct oral microscopy. Postep Derm Alergol. 2014;31:222–8. doi: 10.5114/pdia.2014.40926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Roopashree MR, Gondhalekar RV, Shashikanth MC, et al. Pathogenesis of oral lichen planus: a review. J Oral Pathol Med. 2010;39:729–34. doi: 10.1111/j.1600-0714.2010.00946.x. [DOI] [PubMed] [Google Scholar]
  • 9.Lehman JS, Tollefson MM, Gibson LE. Lichen planus. Int J Dermatol. 2009;48:682–94. doi: 10.1111/j.1365-4632.2009.04062.x. [DOI] [PubMed] [Google Scholar]
  • 10.Chen X, Liu Z, Yue Q. The expression of TNF-alpha and ICAM-1 in lesions of lichen planus and its implication. J Huazhong Univ Sci Technology Med Sci. 2007;27:739–41. doi: 10.1007/s11596-007-0632-x. [DOI] [PubMed] [Google Scholar]
  • 11.Carbone T, Nasorri F, Pennino D, et al. CD56highCd16-NK cell involvement in cutaneous lichen planus. Eur J Dermatol. 2010;20:724–30. doi: 10.1684/ejd.2010.1096. [DOI] [PubMed] [Google Scholar]
  • 12.Hussein MR. Evaluation of angiogenesis in normal and lichen planus skin by CD34 protein immunohistochemistry: preliminary findings. Cell Biol Int. 2007;31:1292–5. doi: 10.1016/j.cellbi.2007.03.035. [DOI] [PubMed] [Google Scholar]
  • 13.Rhodus NL, Cheng B, Ondrey F. Th1/Th2 cytokine ratio in tissue transudates from patients with oral lichen planus. Mediators Inflamm. 2007;2007:19854. doi: 10.1155/2007/19854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Toruniowa B, Krasowska D, Koziol M, et al. Serum level of IL-6 in mycosis fungoides, psoriasis, and lichen planus. An NY Acad Sci. 1995;762:432–4. doi: 10.1111/j.1749-6632.1995.tb32358.x. [DOI] [PubMed] [Google Scholar]
  • 15.El Tawdy A, Rashed L. Downregulation of TLR-7 receptor in hepatic and non-hepatic patients with lichen planus. Int J Dermatol. 2012;51:785–9. doi: 10.1111/j.1365-4632.2011.04977.x. [DOI] [PubMed] [Google Scholar]
  • 16.Yamamoto T, Yoneda K, Ueta E, Osaki T. Cellular immunosuppression in oral lichen planus. J Oral Pathol Med. 1990;19:464–70. doi: 10.1111/j.1600-0714.1990.tb00788.x. [DOI] [PubMed] [Google Scholar]
  • 17.Simon M, Jr, Keller J. Subpopulations of T lymphocytes in peripheral blood and in skin lesions in lichen ruber planus. Dermatologica. 1984;169:112–6. doi: 10.1159/000249583. [DOI] [PubMed] [Google Scholar]
  • 18.Hunyadi J, Simon M, Jr, Kornacher J, Hornstein OP. Decreased natural killer cell activity in lichen ruber planus. Acta Derm Venereol. 1986;66:435–8. [PubMed] [Google Scholar]
  • 19.Lukac J, Mravak-Stipetic M, Knezevic M, et al. Phagocytic functions of salivary neutrophils in oral mucous membrane diseases. J Oral Pathol Med. 2003;32:271–4. doi: 10.1034/j.1600-0714.2003.00127.x. [DOI] [PubMed] [Google Scholar]
  • 20.Kocabas E, Sarikcioglu A, Aksaray N, et al. Role of procalcitonin, C-reactive protein, interleukin-6, interleukin-8 and tumor necrosis factor-alpha in the diagnosis of neonatal sepsis. Turk J Pediatr. 2007;49:7–20. [PubMed] [Google Scholar]
  • 21.Gendrel D, Raymond J, Coste J, et al. Comparison of procalcitonin with C-reactive protein, interleukin 6 and interferon-alpha for differentiation of bacterial vs. viral infections. Pediatr Infect Dis J. 1999;18:875–81. doi: 10.1097/00006454-199910000-00008. [DOI] [PubMed] [Google Scholar]
  • 22.Prat C, Sancho JM, Dominguez, et al. Evaluation of procalcitonin, neopterin, C-reactive protein, IL-6 and IL-8 as a diagnostic marker of infection in patients with febrile neutropenia. Leuk Lymphoma. 2008;49:1752–61. doi: 10.1080/10428190802258956. [DOI] [PubMed] [Google Scholar]
  • 23.Tamhane UU, Aneja S, Montgomery D, et al. Association between admission neutrophil to lymphocyte ratio and outcomes in patients with acute coronary syndrome. Am J Cardiol. 2008;102:653–7. doi: 10.1016/j.amjcard.2008.05.006. [DOI] [PubMed] [Google Scholar]
  • 24.Azab B, Jaglall N, Atallah JP, et al. Neutrophil-lymphocyte ratio as a predictor of adverse outcomes of acute pancreatitis. Pancreatology. 2011;11:445–52. doi: 10.1159/000331494. [DOI] [PubMed] [Google Scholar]
  • 25.Torun S, Tunc BD, Suvak B, et al. Assessment of neutrophil-lymphocyte ratio in ulcerative colitis: a promising marker in predicting disease severity. Clin Res Hepatol Gastroenterol. 2012;36:491–7. doi: 10.1016/j.clinre.2012.06.004. [DOI] [PubMed] [Google Scholar]
  • 26.Jilma B, Blann A, Pernerstorfer T, et al. Regulation of adhesion molecules during human endotoxemia. No acute effects of aspirin. Am J Respir Crit Care Med. 1999;159:857–63. doi: 10.1164/ajrccm.159.3.9805087. [DOI] [PubMed] [Google Scholar]
  • 27.Ayala A, Herdon CD, Lehman DL, et al. Differential induction of apoptosis in lymphoid tissues during sepsis: variation in onset, frequency, and the nature of the mediators. Blood. 1996;87:4261–75. [PubMed] [Google Scholar]
  • 28.Hotchkiss RS, Swanson PE, Freeman BD, et al. Apoptotic cell death in patients with sepsis, shock, and multiple organ dysfunction. Crit Care Med. 1999;27:1230–51. doi: 10.1097/00003246-199907000-00002. [DOI] [PubMed] [Google Scholar]
  • 29.Zahorec R. Ratio of neutrophil to lymphocyte counts – rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy. 2001;102:5–14. [PubMed] [Google Scholar]

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