Skip to main content
  • Research article
  • Open access
  • Published:

Associations of the neutrophil to lymphocyte ratio with intracranial artery stenosis and ischemic stroke

Abstract

Background

The neutrophil-to-lymphocyte ratio (NLR) has emerged as an inflammatory marker. However, the associations of NLR with intracranial artery stenosis (ICAS) and ischemic stroke remain unclear. This study aimed to examine the associations of NLR with ICAS and ischemic stroke among a large and high-risk population.

Methods

Participants with records of clinical characteristics were prospectively recruited from the Neurology Department and Health & Physical Examination Center of Qingdao Municipal Hospital. Logistic regression analysis was used to examine the associations of NLR with ICAS and ischemic stroke. Moreover, we also conducted parametric mediation analysis to estimate the effect of NLR on the risk of ischemic stroke mediated through ICAS.

Results

A total of 2989 participants were enrolled in this study. After adjusting for covariates, NLR (OR = 1.125, 95%CI 1.070–1.183) and ICAS (OR = 1.638, 95%CI 1.364–1.967) were significantly associated with ischemic stroke. Compared with the first quartile NLR, the second, third and fourth quartiles NLR were independent risk predictors for ischemic stroke (P for trend < 0.001); the third and fourth quartiles were independent predictors for ICAS (P for trend < 0.001). The mediation analysis showed that ICAS partially mediated the association between NLR and ischemic stroke, accounting for 14.4% of the total effect (P < 0.001).

Conclusions

NLR was significantly associated with ICAS and ischemic stroke. Besides, ICAS partially mediated the association between NLR and ischemic stroke.

Peer Review reports

Background

Inflammation has been found to play an vital role in atherosclerosis [1], with various inflammatory parameters being associated with artery stenosis [2, 3] as well as ischemic events [4,5,6]. Neutrophil to lymphocyte ratio (NLR) is an indicator of overall systemic inflammatory status in the Asian population and NLR can be of prognostic value in several disorders [7].

Similar to other inflammatory factors, NLR not only serves as an independent risk factor of atherosclerosis in carotid arteries, coronary arteries, and even peripheral arteries [8,9,10,11], but also helps to predict the occurrence and prognosis of stroke [12,13,14,15] . On the spectrum of atherosclerosis, intracranial artery stenosis (ICAS) was also associated with the inflammatory process. However, the association of NLR with ICAS remains unclear. Besides, research focusing on the risk of ischemic stroke with the presence of high NLR and ICAS is limited, while the ICAS is one of the most common causes of ischemic stroke [16, 17]. Moreover, the pathogenesis of cerebral atherosclerosis urgently needs to be well addressed for the high prevalence and pathogenicity of ICAS [18, 19]. Since the NLR is adjustable by controlling inflammation, determining the impact of NLR on the risks of ICAS and ischemic stroke is desired. Such work may contribute to better understanding on the pathophysiological mechanism of ICAS and ischemic stroke as well as exploring new therapeutic targets. Accordingly, this study aimed to examine the differential associations of NLR with ICAS and ischemic stroke among a large and high-risk population.

Methods

Study design and participants

Study subjects were prospectively recruited from the Neurology Department and Health Screening Center of Qingdao Municipal Hospital from January 2014 to June 2018. Patients in the department of neurology were diagnosed as suspected acute ischemic stroke. Ischemic stroke is defined as transient ischemic attack (TIA) or acute ischemic stroke (within 7 days of onset). The non-stroke controls enrolled from health screening center were free from serious health problems as well as TIA and acute ischemic stroke. Exclusion criteria for all participants comprised (1) less than 40 years old; (2) incomplete vascular imaging and laboratory tests; (3) evidences of cardioembolic propensity such as history of atrial fibrillation, valvular heart disease, and underwent replacement; (4) intracranial and external artery dissection, arteritis, moyamoya disease, muscular fiber dysplasia; (5) infection, nausea, tumor, chronic liver disease, and renal insufficiency; (6) intracranial or extracranial cerebral artery stenting or balloon angioplasty; (7) hemorrhagic stroke. Written informed consent form was obtained from all participants or their guardians. This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committees of Qingdao Municipal Hospital.

Finally, a total of 2989 participants who underwent magnetic resonance angiography (MRA) were enrolled in this study, including 1867 participants with ischemic stroke as well as 1122 participants without stroke.

Laboratory measurements

Fasting blood samples for biochemical analysis were collected within 24 h after the hospital admission and were measured at the central laboratory of the Qingdao Municipal Hospital by using an automated analytical platform (Beckman Coulter AU5800: Beckman Coulter Inc. Brea, CA, USA). Fasting blood-glucose and blood fats (high-density lipoprotein, low-density lipoprotein, total cholesterol and triglyceride) were measured using blood samples drawn at approximately 7 a.m. after an overnight fast. Neutrophil count and lymphocyte count in EDTA-anticoagulated whole-blood samples from venipuncture were determined with automated particle counters within the first 24 h after admission. NLR was calculated as the ratio of neutrophil count to lymphocyte count (NLR = Neutrophil count/Lymphocyte count).

Imaging assessment

All the included participants had completed magnetic resonance imaging (MRI) and 3D-time-offlight MRA by 3.0-T magnetic resonance to evaluate intracranial artery status. Besides, ultrasonography examination contrast-enhanced MRA, or computed tomography angiography (CTA) were performed for evaluating extracranial carotid arteries. According to Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) trial criteria [20], the presence of ICAS was defined as the presence of 50–99% stenosis or the occlusion of intracranial arteries including intracranial section of internal carotid artery (ICA), M1/M2 segment of middle cerebral artery (MCA), A1/A2 segment of anterior cerebral artery (ACA), P1/P2 segment of posterior cerebral artery (PCA), V5 segment of vertebral artery (VA), and basilar artery (BA). Two trained investigators who were blinded to clinical information independently evaluated the presence of ICAS, and a third neuroradiologist was consulted in discussion when disagreements emerging.

Assessment of clinical risk factors

The clinical characteristics including age, gender, medical histories of coronary heart disease (CHD), hypertension, diabetes mellitus, stroke and drinking were collected in face-to-face interviews by physicians after referral or hospital admission and cross referenced with primary care records. Before the measurement of blood pressure, subjects were required to rest for at least 5 min, and no less than twice measurements were conducted to obtain stable blood pressures. Hypertension was defined as having an average systolic pressure ≥ 140 mmHg or an average diastolic pressure ≥ 90 mmHg on≥3 occasions or taking antihypertensive drugs. Drinking was considered as previous history of or current moderate to severe alcohol consumption (> 168 g/week). Smoking was defined as a patient who had smoked continuously for 6 months ≥1 cigarette a day. Diabetes mellitus was defined as having a fasting serum glucose level ≥ 7 mg/dL, a non-fasting serum glucose level ≥ 11.1 mg/dL, or use of hypoglycemic agent. CHD was defined as newly diagnosed or a known history of coronary artery disease.

Statistical analysis

The main analyses were conducted in 2 steps. Firstly, multivariable logistic regression was used to estimate the odds ratio (OR) of NLR for ischemic stroke. Unadjusted ORs were calculated from a univariable model (model 1). In model 2, age, gender, systolic blood pressure, coronary heart disease, smoking, drinking, glucose, and total cholesterol-adjusted OR was estimated. In model 3, the presence of ICAS was added to model 2. Secondly, to estimate the mediated proportion of the effect of NLR on ischemic stroke, a parametric mediation analysis was conducted. In this mediation analysis, the effect was defined in terms of the difference in regression coefficient by logistic regression models. The total effect (TE) of NLR on ischemic stroke was estimated and was divided into direct effect and the mediated effect (ME) through ICAS. Additionally, the mediated proportion (ie, ME/TE) was estimated. In the mediation analysis, age, gender, systolic blood pressure, coronary heart disease, smoking, drinking, glucose and total cholesterol were adjusted in the logistic regression model.

As for characteristics of the study participants, the distributions of continuous variables were tested by Kolmogorov-Smirnov tests. Continuous variables without normal distribution were expressed as median (50th) values and interquartile ranges (25th and 75th), compared by the Mann–Whitney U-test. Categorical variables were presented as frequency and percentage, analyzed by χ2 test. For the tabulation and logistic regression analysis, SPSS software version 23.0 for Windows (SPSS Inc., Chicago, IL) was used. Mediation analysis was performed using R 3.62version (“lm” function in the package “mediation”). A 2-tailed P value < 0.05 was considered statistically significant.

Results

Baseline characteristics of study subjects

A total of 2989 individuals (mean age 68.03 ± 11.37 years and 39.00% female) were included in this analysis, among whom 1867 patients with acute ischemic stroke (612 with ICAS and 1255 without ICAS) and 1122 non-stroke controls (239 with ICAS and 883 without ICAS). Clinical characteristics are presented in Table 1. The median NLR level of all participants was 1.92 (interquartile range 1.43–2.76). NLR levels (median 2.01, interquartile range 1.49–3.00) were higher in patients with stroke than those (median 1.76, interquartile range 1.33–2.44, p < 0.001) in controls without stroke. Furthermore, Levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, low-density lipoprotein (LDL), levels of total cholesterol (TC), and triglyceride (TG); the prevalence of coronary heart disease (CHD) and ICAS; and drinking and smoking frequency were higher in the stroke group than in the non-stroke group.

Table 1 Baseline characteristics and neutrophil-to-lymphocyte ratio according to status of ischemic stroke

Associations of NLR with ICAS and ischemic stroke

The results of the relationship between NLR and Ischemic stroke by logistic regression analysis are shown in Table 2. The univariate OR was 1.163 (95%CI 1.107–1.233) in model 1. After adjustment for age, gender, systolic blood pressure (SBP), coronary heart disease (CHD), smoking, drinking, glucose, total cholesterol (TC), the ischemic stroke OR with higher NLR was 1.144 (95%CI 1.088–1.203). In model 3, including all covariates (adjusted in model 2) and ICAS (ie, a mediator), NLR (OR = 1.125, 95%CI 1.070–1.183) and ICAS (OR = 1.638, 95%CI 1.364–1.967) were significantly associated with ischemic stroke. Despite the adjustment for ICAS, NLR remained independently associated with ischemic stroke. As shown in Table 3, NLR was also an independent risk factor for ICAS after adjusting age; gender; SBP; history of hypertension, diabetes mellitus, CHD, smoking and drinking; glucose; and high-density lipoprotein. The covariates and ICAS-adjusted results for ICAS and ischemic stroke according to NLR quartiles are shown in Fig. 1. Compared with the first quartile, the second (OR = 1.276, 95%CI 1.030–1.580), third (OR = 1.528, 95%CI 1.228–1.903) and fourth (OR = 1.870, 95%CI 1.487–2.353) quartiles were independent risk predictors for ischemic stroke (P for trend < 0.001); the third (OR = 1.394, 95%CI 1.092–1.779) and forth (OR = 2.196, 95%CI 1.729–2.790) quartiles were independent predictors for ICAS (P for trend < 0.001).

Table 2 Logistic regression estimation of the effect on ischemic stroke with neutrophil to lymphocyte ratio at baseline
Table 3 Logistic regression estimation of the effect on intracranial artery stenosis with neutrophil to lymphocyte ratio at baseline
Fig. 1
figure 1

Multinomial-adjusted ORs and 95% CIs for ICAS and ischemic stroke according to NLR quartiles. NLR was significantly associated with ischemic stroke in the second, third and fourth quartiles. NLR was significantly associated with ICAS in the third and fourth quartiles in all participants. (the first NLR quartile as reference). •p < 0.05; *p: p value for trend

Mediation analysis

The results of the mediation analysis on the risk of ischemic stroke are depicted in Fig. 2. As TE, NLR significantly associated with ischemic stroke (TE = 0.016, 95% CI 0.010–0.020); within TE, 0.002 (95% CI, 0.001–0.003) was estimated to be an ME; and 0.014 (95% CI, 0.007–0.020) was attributed to the direct effect. From these estimates, the proportion of ME in TE was estimated to be 14.4% (95%CI, 8.0–26.0%): the 14.4% risk of ischemic stroke associated with NLR was mediated by ICAS.

Fig. 2
figure 2

The results of mediation analysis on the risk of ischemic stroke. The mediation analysis showed that ICAS significantly and partially mediate the association between NLR and ischemic stroke, accounting for 14.4% of the total effect (P < 0.001). ME: mediated effect; a: the adjusted regression coefficient between NLR and ICAS; b: the adjusted regression coefficient between ICAS and ischemic stroke; c: the adjusted (including ICAS) regression coefficient between NLR and ischemic stroke; c’: the adjusted (barring ICAS) regression coefficient between NLR and ischemic stroke. *p < 0.001

Discussion

The present study showed that NLR was independently associated with ICAS as well as ischemic stroke in a dose-response pattern. Moreover, we found ICAS significantly and partially mediate the association between NLR and ischemic stroke.

Our results are consistent with recent findings from a cohort study based on a healthy population reporting the independent association of NLR with ICAS [21]. Moreover, several studies reported that high NLR had a strong correlation and precise predictability for restenosis after angioplasty and stenting for asymptomatic carotid stenosis [22]. The mechanisms underlying these observations are not well established, but they seem to be related to the different roles of neutrophils and lymphocytes in the pathophysiologic development of atherosclerosis [23]. As an indicator of acute and chronic inflammation, neutrophil plays a positive role in atherosclerosis [24]. Elevated neutrophil count was reported as a predictor of artery stenosis [25, 26]. A certain number of neutrophils accumulating on the vascular wall can trigger inflammatory reactions through releasing active molecules, such as proinflammatory cytokines and oxyradical, and may lead to endothelial dysfunction and atherogenesis by reducing the utilization of nitrogen oxide [12, 27]. Contrary to neutrophils, lymphocytes have a negative regulatory effect on atherosclerosis. One study indicated that B lymphocytes had protective effects on atherosclerosis caused by hypercholesterolemia [28]. Additionally, lymphocytes are regarded as healing promoters for they secreting anti-inflammatory cytokines interleukin-10 and interleukin-4 [29]. Given their potential roles in plaque formation, it is not surprising that high NLR is significantly associated with ICAS. Besides, both atherosclerosis and ischemic stroke are results of a combination of a variety of risk factors including smoking, alcohol abuse, dyslipidemia, diabetes, and hypertension [30, 31], and several of these risk factors are independently associated with NLR [32,33,34]. Therefore, NLR may associated with ICAS and ischemic stroke through larger burdens of various vascular risk factors.

Nasr et al’ study has reported significant association of neutrophil count with microembolization in patients with symptomatic carotid artery stenosis [35]. In addition, existing studies points that NLR is significantly correlated with non-calcified plaques [36, 37], which are less stable and more rupture-prone than calcified plaques. Moreover, evidence from human atherosclerosis specimens and murine models of atherosclerosis suggests the presence of neutrophils and neutrophil-derived mediators in atherosclerotic lesions [38, 39]. All these evidences indicate that NLR may participant in plaque rupture, which can well explain the results of mediation analysis in the present study. For one thing, in addition to the mechanisms mediated by active molecules released from neutrophils, novel aspects of neutrophil biology may also contribute to ischemic brain injury. Activated neutrophils have been recently described as components of neutrophil extracellular traps (NETs), which are web-like extracellular scaffolds consisting of DNA, histones, and specific granule proteins, such as neutrophil elastase and myeloperoxidase, in response to various stimuli [40]. Recent evidence indicates that NETs may serve harmful contributors during myocardial and liver ischemia/ reperfusion (I/R) injury and the absence of NETs offers significant cardioprotective, hepatoprotective, and anti-inflammatory effects [41]. These results suggest that NETs may play a role tissue damage. For another, lymphopenia (decreased lymphocyte counts in circulation), resulting from elevated corticosteroids under stress conditions in atherosclerosis patients [42], may cause a weakened healing effects on atherosclerosis.

The NLR reflects the balance between neutrophil and lymphocyte levels, which may be comprehensively represent the immunological conditions; using NLR rather than leukocyte count is the specialty of our study. There were still several limitations. First, we cannot rule out the possibility that there were patients with congenital ICAS and arterial dissection in our subjects. At the same time, 3D MRA may not precise enough to evaluate ICAS. Second, the enrolled participants may all have atheromatous intracranial stenosis vs other causes, which is linked to Asian geographical origin of the study population; on this point, we should explain the present results with caution in other population. Third, although we have considered many traditional risk factors, there are still some confounding factors that are not included in this study. Fourth, we could not conclude the causal relationship between NLR and ICAS as well as ischemic stroke, because the level of NLR was not assessed before the onset. So, more conclusive data from well-designed longitudinal studies are needed to understand the mechanism and long-term effect of NLR on the ICAS and ischemic stroke.

Conclusions

To summary, the current study demonstrated that NLR was significantly associated with ICAS and ischemic stroke in a dose-response pattern; ICAS partially mediated the association between NLR and ischemic stroke.

Availability of data and materials

The datasets used and analysed during the current study available from the corresponding author on reasonable request.

Abbreviations

NLR:

Neutrophil to lymphocyte ratio

ICAS:

Intracranial artery stenosis

MRI:

Magnetic resonance imaging

MRA:

Magnetic resonance angiography

CHD:

Coronary heart disease

OR:

Odds ratio

CI:

Confidence interval

TE:

Total effect

ME:

Mediated effect

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

LDL:

Low-density lipoprotein

TC:

Levels of total cholesterol

TG:

Triglyceride

NETs:

Neutrophil extracellular traps

References

  1. Fava C, Montagnana M. Atherosclerosis Is an Inflammatory Disease which Lacks a Common Anti-inflammatory Therapy: How Human Genetics Can Help to This Issue. A Narrative Review. Front Pharmacol. 2018;9:55. https://0-doi-org.brum.beds.ac.uk/10.3389/fphar.2018.00055.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Tousoulis D, Oikonomou E, Economou EK, Crea F, Kaski JC. Inflammatory cytokines in atherosclerosis: current therapeutic approaches. Eur Heart J. 2016;37(22):1723–32. https://0-doi-org.brum.beds.ac.uk/10.1093/eurheartj/ehv759.

    Article  CAS  PubMed  Google Scholar 

  3. Geng S, Chen K, Yuan R, Peng L, Maitra U, Diao N, et al. The persistence of low-grade inflammatory monocytes contributes to aggravated atherosclerosis. Nat Commun. 2016;7:13436. https://0-doi-org.brum.beds.ac.uk/10.1038/ncomms13436.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. McColl BW, Allan SM, Rothwell NJ. Systemic infection, inflammation and acute ischemic stroke. Neuroscience. 2009;158(3):1049–61. https://0-doi-org.brum.beds.ac.uk/10.1016/j.neuroscience.2008.08.019.

    Article  CAS  PubMed  Google Scholar 

  5. Grau AJ, Boddy AW, Dukovic DA, Buggle F, Lichy C, Brandt T, et al. Leukocyte count as an independent predictor of recurrent ischemic events. Stroke. 2004;35(5):1147–52. https://0-doi-org.brum.beds.ac.uk/10.1161/01.STR.0000124122.71702.64.

    Article  PubMed  Google Scholar 

  6. Esenwa CC, Elkind MS. Inflammatory risk factors, biomarkers and associated therapy in ischaemic stroke. Nat Rev Neurol. 2016;12(10):594–604. https://0-doi-org.brum.beds.ac.uk/10.1038/nrneurol.2016.125.

    Article  CAS  PubMed  Google Scholar 

  7. Pikija S, Sztriha LK, Killer-Oberpfalzer M, Weymayr F, Hecker C, Ramesmayer C, et al. Neutrophil to lymphocyte ratio predicts intracranial hemorrhage after endovascular thrombectomy in acute ischemic stroke. J Neuroinflammation. 2018;15(1):319. https://0-doi-org.brum.beds.ac.uk/10.1186/s12974-018-1359-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Mayer FJ, Gruenberger D, Schillinger M, Mannhalter C, Minar E, Koppensteiner R, et al. Prognostic value of neutrophils in patients with asymptomatic carotid artery disease. Atherosclerosis. 2013;231(2):274–80. https://0-doi-org.brum.beds.ac.uk/10.1016/j.atherosclerosis.2013.10.002.

    Article  CAS  PubMed  Google Scholar 

  9. Hyun S, Kwon S, Cho S, Park S, Jung W, Moon S, et al. Can the neutrophil-to-lymphocyte ratio appropriately predict carotid artery stenosis in patients with ischemic stroke?-a retrospective study. J Stroke Cerebrovasc Dis. 2015;24(11):2646–51. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jstrokecerebrovasdis.2015.07.024.

    Article  PubMed  Google Scholar 

  10. Tamhane UU, Aneja S, Montgomery D, Rogers EK, Eagle KA, Gurm HS. Association between admission neutrophil to lymphocyte ratio and outcomes in patients with acute coronary syndrome. Am J Cardiol. 2008;102(6):653–7. https://0-doi-org.brum.beds.ac.uk/10.1016/j.amjcard.2008.05.006.

    Article  PubMed  Google Scholar 

  11. Meng LB, Yu ZM, Guo P, Wang QQ, Qi RM, Shan MJ, et al. Neutrophils and neutrophil-lymphocyte ratio: inflammatory markers associated with intimal-media thickness of atherosclerosis. Thromb Res. 2018;170:45–52. https://0-doi-org.brum.beds.ac.uk/10.1016/j.thromres.2018.08.002.

    Article  CAS  PubMed  Google Scholar 

  12. Saliba W, Barnett-Griness O, Elias M, Rennert G. Neutrophil to lymphocyte ratio and risk of a first episode of stroke in patients with atrial fibrillation: a cohort study. J Thromb Haemost. 2015;13(11):1971–9. https://0-doi-org.brum.beds.ac.uk/10.1111/jth.13006.

    Article  CAS  PubMed  Google Scholar 

  13. Farah R, Samra N. Mean platelets volume and neutrophil to lymphocyte ratio as predictors of stroke. J Clin Lab Anal. 2018;32:1. https://0-doi-org.brum.beds.ac.uk/10.1002/jcla.22189.

    Article  CAS  Google Scholar 

  14. Zhang WB, Zeng YY, Wang F, Cheng L, Tang WJ, Wang XQ. A high neutrophil-to-lymphocyte ratio predicts hemorrhagic transformation of large atherosclerotic infarction in patients with acute ischemic stroke. Aging. 2020;12(3):2428–39. https://0-doi-org.brum.beds.ac.uk/10.18632/aging.102752.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Nam KW, Kim TJ, Lee JS, Kwon HM, Lee YS, Ko SB, et al. High neutrophil-to-lymphocyte ratio predicts stroke-associated pneumonia. Stroke. 2018;49(8):1886–92. https://0-doi-org.brum.beds.ac.uk/10.1161/strokeaha.118.021228.

    Article  PubMed  Google Scholar 

  16. Amarenco P, Steering C. Investigators of the ToP. Five-Year Risk of Stroke after TIA or Minor Ischemic Stroke. N Engl J Med. 2018;379(16):1580–1. https://0-doi-org.brum.beds.ac.uk/10.1056/NEJMc1808913.

    Article  PubMed  Google Scholar 

  17. Holmstedt CA, Turan TN, Chimowitz MI. Atherosclerotic intracranial arterial stenosis: risk factors, diagnosis, and treatment. Lancet Neurol. 2013;12(11):1106–14. https://0-doi-org.brum.beds.ac.uk/10.1016/S1474-4422(13)70195-9.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Gorelick PB, Wong KS, Bae HJ, Pandey DK. Large artery intracranial occlusive disease: a large worldwide burden but a relatively neglected frontier. Stroke. 2008;39(8):2396–9. https://0-doi-org.brum.beds.ac.uk/10.1161/STROKEAHA.107.505776.

    Article  PubMed  Google Scholar 

  19. Hurford R, Wolters FJ, Li L, Lau KK, Kuker W, Rothwell PM, et al. Prevalence, predictors, and prognosis of symptomatic intracranial stenosis in patients with transient ischaemic attack or minor stroke: a population-based cohort study. Lancet Neurol. 2020;19(5):413–21. https://0-doi-org.brum.beds.ac.uk/10.1016/S1474-4422(20)30079-X.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Samuels OB, Joseph GJ, Lynn MJ, Smith HA, Chimowitz MI. A standardized method for measuring intracranial arterial stenosis. AJNR Am J Neuroradiol. 2000;21(4):643–6.

    CAS  PubMed  Google Scholar 

  21. Nam KW, Kwon HM, Jeong HY, Park JH, Kim SH, Jeong SM. High neutrophil to lymphocyte ratios predict intracranial atherosclerosis in a healthy population. Atherosclerosis. 2018;269:117–21. https://0-doi-org.brum.beds.ac.uk/10.1016/j.atherosclerosis.2017.12.035.

    Article  CAS  PubMed  Google Scholar 

  22. Dai Z, Li R, Zhao N, Han Y, Wang M, Zhang S, et al. Neutrophil to lymphocyte ratio as a predictor of restenosis after angioplasty and stenting for asymptomatic carotid stenosis. Angiology. 2019;70(2):160–5. https://0-doi-org.brum.beds.ac.uk/10.1177/0003319718784805.

    Article  PubMed  Google Scholar 

  23. Bakogiannis C, Sachse M, Stamatelopoulos K, Stellos K. Platelet-derived chemokines in inflammation and atherosclerosis. Cytokine. 2019;122:154157. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cyto.2017.09.013.

    Article  CAS  PubMed  Google Scholar 

  24. Moschonas IC, Tselepis AD. The pathway of neutrophil extracellular traps towards atherosclerosis and thrombosis. Atherosclerosis. 2019;288:9–16. https://0-doi-org.brum.beds.ac.uk/10.1016/j.atherosclerosis.2019.06.919.

    Article  CAS  PubMed  Google Scholar 

  25. Guven R, Akyol KC, Bayar N, Gungor F, Akca AH, Celik A. Neutrophil count as a predictor of critical coronary artery stenosis in young patients. Iran J Public Health. 2018;47(5):765–7.

    PubMed  PubMed Central  Google Scholar 

  26. Zhu B, Liu H, Pan Y, Jing J, Li H, Zhao X, et al. Elevated neutrophil and presence of intracranial artery stenosis increase the risk of recurrent stroke. Stroke. 2018;49(10):2294–300. https://0-doi-org.brum.beds.ac.uk/10.1161/STROKEAHA.118.022126.

    Article  PubMed  Google Scholar 

  27. Qi H, Yang S, Zhang L. Neutrophil extracellular traps and endothelial dysfunction in atherosclerosis and thrombosis. Front Immunol. 2017;8:928. https://0-doi-org.brum.beds.ac.uk/10.3389/fimmu.2017.00928.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Doran AC, Lipinski MJ, Oldham SN, Garmey JC, Campbell KA, Skaflen MD, et al. B-cell aortic homing and atheroprotection depend on Id3. Circ Res. 2012;110(1):e1–12. https://0-doi-org.brum.beds.ac.uk/10.1161/CIRCRESAHA.111.256438.

    Article  CAS  PubMed  Google Scholar 

  29. Vila N, Castillo J, Davalos A, Esteve A, Planas AM, Chamorro A. Levels of anti-inflammatory cytokines and neurological worsening in acute ischemic stroke. Stroke. 2003;34(3):671–5. https://0-doi-org.brum.beds.ac.uk/10.1161/01.STR.0000057976.53301.69.

    Article  CAS  PubMed  Google Scholar 

  30. Ma YH, Leng XY, Dong Y, Xu W, Cao XP, Ji X, et al. Risk factors for intracranial atherosclerosis: a systematic review and meta-analysis. Atherosclerosis. 2019;281:71–7. https://0-doi-org.brum.beds.ac.uk/10.1016/j.atherosclerosis.2018.12.015.

    Article  CAS  PubMed  Google Scholar 

  31. Peters SA, Huxley RR, Woodward M. Diabetes as a risk factor for stroke in women compared with men: a systematic review and meta-analysis of 64 cohorts, including 775,385 individuals and 12,539 strokes. Lancet (London, England). 2014;383(9933):1973–80. https://0-doi-org.brum.beds.ac.uk/10.1016/S0140-6736(14)60040-4.

    Article  Google Scholar 

  32. Guo X, Zhang S, Zhang Q, Liu L, Wu H, Du H, et al. Neutrophil:lymphocyte ratio is positively related to type 2 diabetes in a large-scale adult population: a Tianjin chronic low-grade systemic inflammation and health cohort study. Eur J Endocrinol. 2015;173(2):217–25. https://0-doi-org.brum.beds.ac.uk/10.1530/EJE-15-0176.

    Article  CAS  PubMed  Google Scholar 

  33. Jhuang YH, Kao TW, Peng TC, Chen WL, Li YW, Chang PK, et al. Neutrophil to lymphocyte ratio as predictor for incident hypertension: a 9-year cohort study in Taiwan. Hypertens Res. 2019;42(8):1209–14. https://0-doi-org.brum.beds.ac.uk/10.1038/s41440-019-0245-3.

    Article  PubMed  Google Scholar 

  34. Liu CC, Ko HJ, Liu WS, Hung CL, Hu KC, Yu LY, et al. Neutrophil-to-lymphocyte ratio as a predictive marker of metabolic syndrome. Medicine. 2019;98(43):e17537. https://0-doi-org.brum.beds.ac.uk/10.1097/MD.0000000000017537.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Nasr N, Ruidavets JB, Arnal JF, Sie P, Larrue V. Association of neutrophil count with microembolization in patients with symptomatic carotid artery stenosis. Atherosclerosis. 2009;207(2):519–23. https://0-doi-org.brum.beds.ac.uk/10.1016/j.atherosclerosis.2009.05.003.

    Article  CAS  PubMed  Google Scholar 

  36. Yuksel IO, Koklu E, Arslan S, Cagirci G, Goksu EO, Koc P, et al. Association of Neutrophil/lymphocyte ratio with plaque morphology in patients with asymptomatic intermediate carotid artery stenosis. Korean Circ J. 2016;46(5):699–705. https://0-doi-org.brum.beds.ac.uk/10.4070/kcj.2016.46.5.699.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Nilsson L, Wieringa WG, Pundziute G, Gjerde M, Engvall J, Swahn E, et al. Neutrophil/Lymphocyte ratio is associated with non-calcified plaque burden in patients with coronary artery disease. PLoS One. 2014;9(9):e108183. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0108183.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Yvan-Charvet L, Welch C, Pagler TA, Ranalletta M, Lamkanfi M, Han S, et al. Increased inflammatory gene expression in ABC transporter-deficient macrophages: free cholesterol accumulation, increased signaling via toll-like receptors, and neutrophil infiltration of atherosclerotic lesions. Circulation. 2008;118(18):1837–47. https://0-doi-org.brum.beds.ac.uk/10.1161/CIRCULATIONAHA.108.793869.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. van Leeuwen M, Gijbels MJ, Duijvestijn A, Smook M, van de Gaar MJ, Heeringa P, et al. Accumulation of myeloperoxidase-positive neutrophils in atherosclerotic lesions in LDLR−/− mice. Arterioscler Thromb Vasc Biol. 2008;28(1):84–9. https://0-doi-org.brum.beds.ac.uk/10.1161/ATVBAHA.107.154807.

    Article  CAS  PubMed  Google Scholar 

  40. Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science (New York, NY). 2004;303(5663):1532–5. https://0-doi-org.brum.beds.ac.uk/10.1126/science.1092385.

    Article  CAS  Google Scholar 

  41. Huang H, Tohme S, Al-Khafaji AB, Tai S, Loughran P, Chen L, et al. Damage-associated molecular pattern-activated neutrophil extracellular trap exacerbates sterile inflammatory liver injury. Hepatology. 2015;62(2):600–14. https://0-doi-org.brum.beds.ac.uk/10.1002/hep.27841.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Koklu E, Yuksel IO, Arslan S, Bayar N, Cagirci G, Gencer ES, et al. Is elevated neutrophil-to-lymphocyte ratio a predictor of stroke in patients with intermediate carotid artery stenosis? J Stroke Cerebrovasc Dis. 2016;25(3):578–84. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jstrokecerebrovasdis.2015.10.031.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all patients and controls for their participation in this study.

Funding

This study was supported by grants from the Taishan Scholars Program of Shandong Province (ts201511109 and tsqn20161079) and Qingdao Key Health Discipline Development Fund.

Author information

Authors and Affiliations

Authors

Contributions

JTY and LT designed the study and wrote the manuscript. LYH and YHM performed the analysis and interpretation of data as well as manuscript writing. FRS, JJY, HQL, XLZ, and JHS were responsible for the acquisition and interpretation of data and the manuscript revision. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Jin-Tai Yu, Jing-Hui Song or Lan Tan.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the ethic committee of Qingdao Municipal Hospital. Written informed consent form was obtained from all participants or their guardians. This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committees of Qingdao Municipal Hospital.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, LY., Sun, FR., Yin, JJ. et al. Associations of the neutrophil to lymphocyte ratio with intracranial artery stenosis and ischemic stroke. BMC Neurol 21, 56 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s12883-021-02073-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12883-021-02073-3

Keywords