High neutrophil to lymphocyte ratio is associated with white matter hyperintensity in a healthy population

The neutrophil-to-lymphocyte ratio is associated with functional outcome among single small subcortical infarction: Mediating effects of white matter hyperintensities

BACKGROUND

Increasing evidence indicated that neutrophil-to-lymphocyte ratio (NLR) was correlated with unfavorable functional outcome in ischemic stroke. However, limited studies have explored the relationship between NLR and single small subcortical infarction (SSSI). This study aims to investigate the link between NLR and functional outcome in patients with SSSI and assess whether white matter hyperintensities (WMH) mediates the relationship between NLR and unfavorable functional prognosis.

METHODS

This research analyzed data from patients with SSSI in a Chinese cohort study. The primary outcome was unfavorable functional outcome (modified Rankin Scale score of 2-6) at 90 days after ischemic stroke onset, and the secondary outcome was unfavorable functional outcome at discharge. The relationship between NLR and functional outcome was analyzed using restricted cubic spline (RCS) and multivariable logistic regression. A mediation analysis was conducted to examine the link between NLR and unfavorable functional outcome mediated by WMH.

RESULTS

Among the 513 patients with SSSI included in the study, unfavorable functional outcome was seen in 145 (28.3%) patients at the 90-day follow-up and 156 patients (30.4%) at discharge. After controlling for confounding variables, elevated NLR levels were found to be linked with unfavorable functional outcome both at 90 days and at discharge. Mediation analyses indicated that overall WMH significantly mediated the relationship between NLR and unfavorable functional outcome at 90 days and discharge, with mediation proportions of 29.6% and 24.2%, respectively. Periventricular WMH accounted for 36.4% and 32.1% of the mediation effects, respectively.

CONCLUSION

Elevated NLR independently increased the risk of unfavorable functional outcome in individuals with SSSI. In patients with SSSI, WMH partially mediated the relationship between NLR and unfavorable functional outcome.

Circulating immune cells in cerebral small vessel disease: a systematic review

Cerebral small vessel disease (cSVD) refers to all pathologies of the brain's arterioles, capillaries, and venules. cSVD is highly prevalent with ageing and is diagnosed by its characteristic neuro-imaging features. Emerging evidence suggests that circulating immune cells play an important role in cSVD's pathology. However, the specific immune cell populations involved remain poorly understood. This systematic review synthesizes current evidence on circulating immune cells in cSVD and their associations with cSVD features. A systematic search was conducted using PubMed, Embase, and Web of Science databases. All studies investigating the association between peripheral immune cells and imaging features of cSVD were included. Data were extracted on study design, immune cells and cSVD measures, and outcomes. A total of 18 studies were included. Pro-inflammatory monocytes were associated with the severity and progression of cSVD over time. The neutrophil-to-lymphocyte ratio (NLR) showed positive associations with white matter hyperintensities (WMH) and enlarged perivascular spaces. The monocyte-to-HDL ratio (MHR) demonstrated a stronger association than the NLR with WMH, lacunes, and cerebral microbleeds. The lymphocyte-to-monocyte ratio (LMR) was linked to slower WMH progression and lower cSVD prevalence. Key findings highlight a role for pro-inflammatory circulating monocytes, NLR, MHR, and LMR in cSVD patients. These derived ratios serve as more reliable disease predictors than individual blood counts, showing potential as innovative diagnostic and prognostic markers. However, the reviewed studies predominantly employed cross-sectional and retrospective designs, suggesting the need for large-scale, prospective investigations to determine the role of these inflammatory markers in cSVD's pathogenesis.

Structural and functional brain correlates of the neutrophil- and monocyte-to-lymphocyte ratio in neuropsychiatric disorders

Skews in the neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) increasingly demonstrate prognostic capability in a range of acute and chronic mental health conditions. There has been a recent uptick in structural and functional magnetic responance imaging data corroborating the role of NLR and MLR in a cluster of neuropsychiatric disorders that are characterized by cognitive, affective, and psychomotor dysfunction. Moreover, these deficits are mostly evident in setting of acute and chronic disease comorbidity implicating aging and immunosenescent processes in the manifestation of these geriatric syndromes. The studies reviewed in this special edition implicate neutrophil and monocyte expansion relative to lymphocytopenia in the sequelae of depression, cognitive and functional decline, as well as provide support from a range of neuroimaging techniques that identify brain alteartions concommitant with expansion of the NLR or MLR and the sequelae of depression, dementia, and functional decline.

Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke

Background

White matter hyperintensity (WMH) and brain atrophy, as imaging marker of cerebral small-vessel diseases (CSVD), have a high prevalence and strong prognostic value in stroke. We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in patients with acute ischemic stroke (AIS).

Methods

A total of 727 AIS patients with lymphocyte count and brain magnetic resonance imaging data were enrolled. Participants were divided into four groups according to the quartiles of baseline lymphocyte counts. WMH is frequently divided into periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH). WMH was defined as Fazekas scale score ≥ 3; PVH was defined as periventricular Fazekas scale ≥2; DWMH was defined as deep Fazekas scale ≥2. Brain atrophy was defined as global cortical atrophy score ≥ 1. Multivariable logistic regression models were used to assess the association between lymphocyte count and WMH and brain atrophy.

Results

Among 727 AIS, 517 (71.1%), 442 (60.8%), 459 (63.1%), 583 (80.2%) had WMH, PVH, DWMH and brain atrophy, respectively. After adjustment for potential covariates, the highest quartiles of lymphocyte counts were significantly associated with lower risk of WMH (adjusted odds ratio [aOR] 0.57, 95% confidence intervals [CI] 0.32-0.99), PVH (aOR 0.52, 95% CI 0.31-0.87), DWMH (aOR 0.53 95% CI 0.32-0.90) as well as brain atrophy (aOR 0.46, 95% CI 0.23-0.92) compared with the lowest quartiles of lymphocyte counts, respectively. Furthermore, a notable inverse association was observed between continuous lymphocyte counts and WMH, PVH, DWMH, and brain atrophy. Additionally, we found that the inverse association between baseline lymphocyte count and WMH was significant only in individuals with mild stroke.

Conclusion

In patients with AIS, there was an independent and inverse association between the baseline lymphocyte count and both WMH and brain atrophy.

Association of lymphocyte-to-C-reactive protein ratio with cerebral small vessel disease: a cross-sectional study based on dose-response analysis

Objective

We investigated the relationship between lymphocyte-to-C-reactive protein ratio (LCR) and common imaging markers of cerebral small vessel disease (CSVD).

Methods

Data from 835 CSVD patients were analyzed using univariate and multivariate logistic regression to determine CSVD-associated factors. Multivariate models assessed the association between LCR and CSVD, including common imaging markers. Subgroup analysis by age, sex, smoking history, hypertension, lipid levels, and other factors was conducted. The receiver operating characteristic curve analysis and 10-fold cross-validation were performed to evaluate the predictive performance of LCR.

Results

Lymphocyte-to-C-reactive protein ratio was independently associated with a decreased risk of CSVD (p < 0.001), indicating a protective role of LCR against CSVD. Among the imaging markers of CSVD, LCR in the highest quartile was negatively associated with moderate-to-severe white matter hyperintensities (WMH) (p = 0.002) and moderate-to-severe enlarged perivascular spaces (EPVS) (p < 0.001), but not with lacune (p > 0.05). The restrictive cubic spline analysis revealed a linear dose-response relationship between log-transformed LCR and the incidence of CSVD (P non-linear = 0.090) as well as moderate-to-severe WMH (P non-linear = 0.304), with a non-linear association with moderate and severe EPVS (P non-linear = 0.001). In the subgroup analyses, LCR remained a significant association with CSVD in most subgroups (p < 0.05). Notably, a significant correlation was observed between LCR and CSVD (p < 0.001) in the subgroups of non-smokers, those with neutrophil count ≤6.3 × 109/L, and with high-density lipoprotein cholesterol ≥1 mmol/L. No interaction effect was identified between the variables and the LCR (p > 0.1). The predictive capability of LCR for CSVD was confirmed through receiver operating characteristic curve analysis.

Conclusion

Lymphocyte-to-C-reactive protein ratio is an independent protective factor for CSVD and is associated with lower WMH or EPVS burden but not lacune. Inflammation is involved in CSVD pathophysiology through multiple pathways, providing potential targets for CSVD intervention.

The impact of white matter hyperintensities on short-term outcomes of reperfusion therapy in patients with acute ischemic stroke

BACKGROUND AND PURPOSE

This study aimed to explore the impact of white matter hyperintensities (WMH) on the short-term outcomes of reperfusion therapy in acute ischemic stroke (AIS) patients.

METHODS

We prospectively collected data on AIS patients undergoing reperfusion therapies at Chengdu Second People's Hospital from January 2020 and January 2024. WMH severity was graded as 0-3 (none to moderate) or 4-6 (severe) by the Fazekas scale. We analyzed National Institutes of Health Stroke Scale (NIHSS) scores, good functional outcomes (modified Rankin Scale, mRS 0-2) at 7 days and discharge, and safety outcomes like in-hospital mortality and intracranial hemorrhage.

RESULTS

During the study period, 669 patients were included, with 345 having none to moderate WMH and 324 with severe WMH. Patients with severe WMH exhibited significantly higher NIHSS and mRS at 7 days and discharge, with a decrease in good outcomes (mRS 0-2: 40.43% vs. 75.65%), and an increase in intracranial hemorrhage (16.4% vs. 5.8%) and in-hospital mortality (11.7% vs. 2.0%) compared with none to moderate WMH patients. After matching the baseline data, none to moderate WMH was associated with higher likelihood of good outcomes at discharge [adjusted odds ratio (aOR), 2.142; 95% confidence interval (CI), 1.380-3.304; P < 0.001] and a lower rate of any intracranial hemorrhage (aOR, 0.348; 95% CI 0.180-0.673; P < 0.001), with no significant difference in in-hospital mortality between the groups.

CONCLUSION

Severe WMH could reduce the benefits of reperfusion therapy in AIS, with increased risk of hemorrhagic complications, warranting further research into treatment strategies for these patients.

Predictive Value of Serum Immune-Inflammatory Markers for Adverse Pregnancy Outcomes in Pregnant Women with Thrombophilia: A Retrospective Cohort Study

Background

Thrombophilia combined with pregnancy poses significant risks for adverse pregnancy outcomes. Unfortunately, there are no indicators at high risk for predicting adverse pregnancy outcomes. This study investigates the predictive efficiency of serum immune-inflammatory markers on adverse pregnancy outcomes.

Methods

This retrospective cohort study includes 223 pregnant women diagnosed with thrombophilia who delivered at the Fujian Provincial Hospital South Branch from January 2022 to April 2024. Clinical information and pregnancy outcomes were collected. The systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and lactate dehydrogenase (LDH) were calculated using blood samples. The relationship and predictive accuracy between immune-inflammatory markers and adverse pregnancy outcomes were analyzed.

Results

In this study, 50 (22.4%) patients had adverse pregnancy outcomes. Significant differences were observed in neutrophils counts, monocytes counts, LDH, SII, and SIRI levels between the adverse pregnancy outcome groups (APOs) and the control groups (P<0.05). The area under the receiver operating characteristic (ROC) curve analysis revealed that SII (AUC=0.762), SIRI (AUC=0.764), and LDH (AUC=0.732) had high predictive values for adverse pregnancy outcomes. Notably, the combined model had the highest AUC of 0.805. Multivariate logistic regression identified SII had the highest odd ratio (OR) (OR=8.512; 95% CI(3.068-23.614)), followed by LDH (OR=4.905; 95% CI (1.167-11.101)), SIRI (OR=3.549; 95% CI(0.847-8.669)), and neutrophils count (OR=1.726; 95% CI (0.563-2.938)) as independent risk factors for adverse outcomes.

Conclusion

Elevated levels of immune-inflammatory markers such as SII, SIRI, and LDH level are strong predictors of adverse pregnancy outcomes in thrombophilia-complicated pregnancies. These markers are significantly associated with maternal-neonatal outcomes. Our findings underscore the importance of monitoring immune-inflammatory markers in pregnant women with thrombophilia to improve maternal and neonatal outcomes.

The Trends of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Systemic Immunoinflammatory Index in Patients with Intracerebral Hemorrhage and Clinical Value in Predicting Pneumonia 30 Days After Surgery

BACKGROUND

Inflammatory response is closely associated with secondary brain injury and pneumonia in intracerebral hemorrhage (ICH). In this study, we aimed to investigate the value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) in the development of pneumonia in ICH patients 30 days after surgery.

METHODS

We retrospectively collected clinical data on patients with ICH who underwent surgical treatment at our institution from January 2016 to December 2022, mainly including NLR, PLR, and SII at different time points. Receiver operating characteristic curves were used to compare the value of different inflammatory indicators in predicting the development of postoperative pneumonia 30 days after surgery in ICH patients, and multivariate logistic regression analyses were used to identify independent risk factors for pneumonia 30 days after surgery.

RESULTS

Among 112 patients with ICH undergoing surgical treatment, 31 (27.7%) developed pneumonia postoperatively. The results of the univariate analysis demonstrated that patients in the pneumonia group experienced significantly higher blood glucose, NLR at 72 hours postoperatively, PLR at 72 hours postoperatively, and SII at 72 hours postoperatively (SII3) than those in the nonpneumonia group, and significantly lower admission Glasgow Coma Scale scores than those in the nonpneumonia group (all P < 0.05). NLR, PLR, and SII showed increasing and then decreasing in the disease process of ICH and peaked at 48 hours postoperatively. Multivariable logistic regression analysis revealed that SII3 was an independent risk factor for postoperative pneumonia 30 days after surgery in ICH patients (odds ratio = 1.001, 95% confidence interval: 1.000-1.002, P = 0.008). The area under the curve of the developed nomogram model was 0.895 (95% confidence interval = 0.823-0.967), with a sensitivity and specificity of 0.903 and 0.815, respectively, providing good predictive power.

CONCLUSIONS

In the course of ICH, NLR, PLR, and SII increased and then decreased and peaked at 48 hours postoperatively. The SII3 was the best predictor of the occurrence of pneumonia postoperatively in ICH patients.

Development and validation of a diagnostic model for cerebral small vessel disease among rural older adults in China

Objectives

Cerebral small vessel disease (CSVD) visible on MRI can be asymptomatic. We sought to develop and validate a model for detecting CSVD in rural older adults.

Methods

This study included 1,192 participants in the MRI sub-study within the Multidomain Interventions to Delay Dementia and Disability in Rural China. Total sample was randomly divided into training set and validation set. MRI markers of CSVD were assessed following the international criteria, and total CSVD burden was assessed on a scale from 0 to 4. Logistic regression analyses were used to screen risk factors and develop the diagnostic model. A nomogram was used to visualize the model. Model performance was assessed using the area under the receiver-operating characteristic curve (AUC), calibration plot, and decision curve analysis.

Results

The model included age, high blood pressure, white blood cell count, neutrophil-to-lymphocyte ratio (NLR), and history of cerebral infarction. The AUC was 0.71 (95% CI, 0.67-0.76) in the training set and 0.69 (95% CI, 0.63-0.76) in the validation set. The model showed high coherence between predicted and observed probabilities in both the training and validation sets. The model had higher net benefits than the strategy assuming all participants either at high risk or low risk of CSVD for probability thresholds ranging 50-90% in the training set, and 65-98% in the validation set.

Conclusion

A model that integrates routine clinical factors could detect CSVD in older adults, with good discrimination and calibration. The model has implication for clinical decision-making.

Prenatal and childhood air pollution exposure, cellular immune biomarkers, and brain connectivity in early adolescents

Introduction

Ambient air pollution is a neurotoxicant with hypothesized immune-related mechanisms. Adolescent brain structural and functional connectivity may be especially vulnerable to ambient pollution due to the refinement of large-scale brain networks during this period, which vary by sex and have important implications for cognitive, behavioral, and emotional functioning. In the current study we explored associations between air pollutants, immune markers, and structural and functional connectivity in early adolescence by leveraging cross-sectional sex-stratified data from the Adolescent Brain Cognitive Development℠ Study®.

Methods

Pollutant concentrations of fine particulate matter, nitrogen dioxide, and ozone were assigned to each child's primary residential address during the prenatal period and childhood (9-10 years-old) using an ensemble-based modeling approach. Data collected at 11-13 years-old included resting-state functional connectivity of the default mode, frontoparietal, and salience networks and limbic regions of interest, intracellular directional and isotropic diffusion of available white matter tracts, and markers of cellular immune activation. Using partial least squares correlation, a multivariate data-driven method that identifies important variables within latent dimensions, we investigated associations between 1) pollutants and structural and functional connectivity, 2) pollutants and immune markers, and 3) immune markers and structural and functional connectivity, in each sex separately.

Results

Air pollution exposure was related to white matter intracellular directional and isotropic diffusion at ages 11-13 years, but the direction of associations varied by sex. There were no associations between pollutants and resting-state functional connectivity at ages 11-13 years. Childhood exposure to nitrogen dioxide was negatively correlated with white blood cell count in males. Immune biomarkers were positively correlated with white matter intracellular directional diffusion in females and both white matter intracellular directional and isotropic diffusion in males. Lastly, there was a reliable negative correlation between lymphocyte-to-monocyte ratio and default mode network resting-state functional connectivity in females, as well as a compromised immune marker profile associated with lower resting-state functional connectivity between the salience network and the left hippocampus in males. In post-hoc exploratory analyses, we found that the PLSC-identified white matter tracts and resting-state networks related to processing speed and cognitive control performance from the NIH Toolbox.

Conclusions

We identified novel links between childhood nitrogen dioxide and cellular immune activation in males, and brain network connectivity and immune markers in both sexes. Future research should explore the potentially mediating role of immune activity in how pollutants affect neurological outcomes as well as the potential consequences of immune-related patterns of brain connectivity in service of improved brain health for all.

Serum parameters of inflammatory markers as prognostic biomarkers with maternal-neonatal outcome in patients with GDM

Objective

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, which is increasing annually. GDM can cause serious harm to both the mother and the offspring. However, the clinical indicators that predict pregnancy outcomes with GDM remain limited.

Methods

This study included 3,229 pregnancies. Inflammatory markers were defective in the mother's peripheral blood. Also, the Chi-square test, logistic regression analyses and Spearman rank correlation coefficient were performed to evaluate inflammatory markers with pregnancy outcomes. The association between inflammatory markers and pregnancy outcomes was analyzed. The optimal cut-off values of inflammatory markers were calculated.

Results

Finally, 3,229 women were included. 1852 (57.36%) participants suffered good pregnancy outcomes. This study revealed that the maternal age, the baseline BMI (kg/m2), the times of parity, and the level of lymphocyte, SII and SIRI significantly increased in poor pregnancy outcomes groups. Additionally, inflammatory markers, such as white blood cells (WBC), neutrophils, monocytes, platelet counts, lymphocytes, systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) were related to pregnancy outcomes. Furthermore, the results revealed that the SII level had the highest odd rates (OR) [OR = 6.957; 95% CI (5.715-8.468)], followed by SIRI level [OR = 2.948; 95% CI (2.382-3.649)], the WBC counts [OR = 1.930; 95% CI (0.901-2.960)], the lymphocyte counts [OR = 1.668; 95% CI (1.412-1.970)], and baseline BMI [OR = 1.050; 95% (1.021-1.080)].

Conclusion

This study presented that the baseline SII and SIRI levels can be valuable biochemical markers to predict the pregnancy outcome with GDM with non-invasive procedures. They can help identify high-risk pregnant women with GDM early, provide a personalized intervention in time, and enhance perinatal surveillance.

Association of peripheral immunity and cerebral small vessel disease in older adults without dementia: A longitudinal study

This study explored the associations between peripheral immunity with cerebral small vessel diseases. Older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative were investigated. Peripheral blood was obtained, and magnetic resonance imaging was performed to measure cerebral microbleeds (CMB), lacunar infarctions (LI), and white matter hyperintensities (WMH). Multivariable-adjusted regression models, linear mixed-effects models, and the Spearman correlations were used to evaluate the associations. At baseline, individuals with greater neutrophils (odds ratio [OR] =1.10, 95% confidence interval [CI] 1.00-1.20, p=0.042) and monocytes (OR=1.12, 95% CI 1.02-1.22, p=0.016) had higher WMH volume. On the contrary, a higher lymphocyte-to-monocyte ratio (LMR) was related to lower WMH volume (OR=0.91, 95% CI 0.82-1.00, p=0.041). Longitudinally, higher neutrophils (ρ=0.084, p=0.049) and NLR (ρ=0.111, p=0.009) predicted accelerated progression of WMH volume, while a greater LMR (ρ=-0.101, p=0.018) was linked to slower growth of WMH volume. Nevertheless, associations between peripheral immunity with CMB or LI were not observed at baseline and follow-up. Our study found that peripheral immune indexes could serve as convenient noninvasive biomarkers of WMH.

Relationship of neutrophil/lymphocyte ratio with cerebral small vessel disease and its common imaging markers

BACKGROUND

High neutrophil/lymphocyte ratio (NLR) is associated with poor prognosis in ischemic stroke. However, the role of NLR in cerebral small vessel disease (CSVD) is controversial. Herein, we evaluated the value of NLR in identifying CSVD and its relationship with the common imaging markers of CSVD.

METHODS

A total of 667 patients were enrolled in this study, including 368 in the CSVD group and 299 in the non-CSVD group. Clinical, laboratory, and imaging data were collected. The relationship of NLR with CSVD and common imaging markers of CSVD were analyzed with univariate and multivariate logistic regression analysis. The predictive value of NLR was assessed with the receiver operating characteristic curve.

RESULTS

NLR (odds ratio [OR] = 1.929, 95% confidence interval [CI] =  1.599-2.327, p < .001) was an independent risk factor for CSVD. NLR was also independently associated with moderate to severe white matter hyperintensity (WMH) (OR = 2.136, 95% CI = 1.768-2.580, p < .001), moderate to severe periventricular WMH (OR = 2.138, 95% CI = 1.771-2.579, p < .001), and moderate to severe deep WMH (OR = 1.654, 95% CI = 1.438-1.902, p < .001), moderately to severely enlarged perivascular spaces (EPVS) (OR = 1.248, 95% CI = 1.110-1.402, p < .001), moderately to severely EPVS in the basal ganglia (OR = 1.136, 95% CI = 1.012-1.275, p = .030), and moderately to severely EPVS in the centrum semiovale (OR = 1.140, 95% CI = 1.027-1.266, p = .014). However, NLR was not statistically significantly associated with lacune. The optimal cutoff point of NLR in predicting CSVD was 2.47, with sensitivity and specificity of 84.2% and 66.9%, respectively (p < .01). The diagnostic effect was maximized when NLR was combined with other risk factors.

CONCLUSIONS

NLR is an independent risk factor for CSVD and is independently associated with common imaging markers of CSVD. NLR may serve as a valid and convenient biomarker for assessing CSVD.

Neutrophil extracellular traps mediated by platelet microvesicles promote thrombosis and brain injury in acute ischemic stroke

AIMS

Neutrophil extracellular traps (NETs) have been implicated in thrombotic diseases. There is no definitive explanation for how NETs form during acute ischemic strokes (AIS). The purpose of our study was to investigate the potential mechanism and role of NETs formation in the AIS process.

METHODS

As well as 45 healthy subjects, 45 patients with AIS had ELISA tests performed to detect NET markers. Expression of high-mobility group box 1 (HMGB1) on platelet microvesicles (PMVs) was analyzed by flow cytometry in healthy subjects and AIS patients' blood samples. We established middle cerebral artery occlusion (MCAO) mice model to elucidate the interaction between PMPs and NETs.

RESULTS

A significant elevation in NET markers was found in patient plasma in AIS patients, and neutrophils generated more NETs from patients' neutrophils. HMGB1 expression was upregulated on PMVs from AIS patients and induced NET formation. NETs enhanced Procoagulant activity (PCA) through tissue factor and via platelet activation. Targeting lactadherin in genetical and in pharmacology could regulate the formation of NETs in MCAO model.

CONCLUSIONS

NETs mediated by PMVs derived HMGB1 exacerbate thrombosis and brain injury in AIS. Video Abstract.

Monocyte to high-density lipoprotein cholesterol ratio is associated with cerebral small vessel diseases

BACKGROUND

Inflammation is a major pathological mechanism underlying cerebrovascular disease. Recently, a new inflammatory marker based on the ratio between monocyte count and high-density lipoprotein (HDL) cholesterol has been proposed. In this study, we evaluated the relationship between monocyte-to-HDL cholesterol ratio (MHR) and cerebral small vessel disease (cSVD) lesions in health check-up participants.

METHODS

This study was a retrospective cross-sectional study based on a registry that prospectively collected health check-up participants between 2006 and 2013. Three cSVD subtypes were measured on brain magnetic resonance imaging. White matter hyperintensity (WMH) volume, and lacunes and cerebral microbleeds (CMBs) were quantitatively and qualitatively measured, respectively. The MHR was calculated according to the following formula: MHR = monocyte counts (× 103/μL) / HDL cholesterol (mmol/L).

RESULTS

In total, 3,144 participants were evaluated (mean age: 56 years, male sex: 53.9%). In multivariable analyzes adjusting for confounders, MHR was significantly associated with WMH volume [β = 0.099, 95% confidence interval (CI) = 0.025 to 0.174], lacune [adjusted odds ratio (aOR) = 1.43, 95% CI = 1.07-1.91], and CMB (aOR = 1.51, 95% CI = 1.03-2.19). In addition, MHR showed a positive quantitative relationship with cSVD burden across all three subtypes: WMH (P < 0.001), lacunes (P < 0.001), and CMBs (P < 0.001).

CONCLUSIONS

High MHR was closely associated with cSVD in health check-up participants. Because these associations appear across all cSVD subtypes, inflammation appears to be a major pathological mechanism in the development of various cSVDs.

Prognostic significance of peripheral neutrophils and lymphocytes in early untreated Parkinson's disease: an 8-year follow-up study

BACKGROUND

To explore whether peripheral blood neutrophils and lymphocytes are associated with longitudinal motor and cognitive decline in patients with early Parkinson's disease (PD) and, to uncover the disease-specific mechanisms underlying these associations.

METHODS

Data were obtained from the Parkinson's Progression Markers Initiative cohort. We included 376 patients with recently diagnosed, drug-naïve PD and 178 matched healthy controls. The patients underwent annual assessments, including the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part 3 test to measure motor function and the Montreal Cognitive Assessment (MoCA) to measure cognitive function, for up to 8 years of follow-up. Dopamine transporter (DAT) imaging was performed at baseline and the 1-year, 2-year and 4-year follow-up visits.

RESULTS

At baseline, patients with PD showed higher neutrophil and lower lymphocyte counts, resulting in a higher neutrophil-to-lymphocyte ratio (NLR) than that in healthy controls. Higher neutrophil counts were associated with a greater increase in MDS-UPDRS part 3 scores in patients with PD (estimate: 0.25, 95% CI: 0.12 to 0.37, p<0.001). Correspondingly, higher neutrophil levels were related to a greater reduction in DAT activity in the caudate (estimate: -0.007, 95% CI: -0.014 to -0.001, p=0.046) and putamen (estimate: -0.0039, 95% CI: -0.0077 to -0.0002, p=0.042). However, there were no significant effects of lymphocyte count and NLR on changes in the MDS-UPDRS part 3 and MoCA scores and striatal DAT uptake over time.

CONCLUSION

Among the blood biomarkers, only a higher neutrophil count was associated with faster motor progression along with accelerated nigrostriatal dopaminergic degeneration in patients with PD. The impact of neutrophils and lymphocytes on longitudinal cognitive changes remains unclear.

TRIAL REGISTRATION NUMBER

NCT01141023.

Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review

The correct recognition of the etiology of ischemic stroke (IS) allows tempestive interventions in therapy with the aim of treating the cause and preventing a new cerebral ischemic event. Nevertheless, the identification of the cause is often challenging and is based on clinical features and data obtained by imaging techniques and other diagnostic exams. TOAST classification system describes the different etiologies of ischemic stroke and includes five subtypes: LAAS (large-artery atherosclerosis), CEI (cardio embolism), SVD (small vessel disease), ODE (stroke of other determined etiology), and UDE (stroke of undetermined etiology). AI models, providing computational methodologies for quantitative and objective evaluations, seem to increase the sensitivity of main IS causes, such as tomographic diagnosis of carotid stenosis, electrocardiographic recognition of atrial fibrillation, and identification of small vessel disease in magnetic resonance images. The aim of this review is to provide overall knowledge about the most effective AI models used in the differential diagnosis of ischemic stroke etiology according to the TOAST classification. According to our results, AI has proven to be a useful tool for identifying predictive factors capable of subtyping acute stroke patients in large heterogeneous populations and, in particular, clarifying the etiology of UDE IS especially detecting cardioembolic sources.

The clinical value of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) for predicting the occurrence and severity of pneumonia in patients with intracerebral hemorrhage

Background

Inflammatory mechanisms play important roles in intracerebral hemorrhage (ICH) and have been linked to the development of stroke-associated pneumonia (SAP). The neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) are inflammatory indexes that influence systemic inflammatory responses after stroke. In this study, we aimed to compare the predictive value of the NLR, SII, SIRI and PLR for SAP in patients with ICH to determine their application potential in the early identification of the severity of pneumonia.

Methods

Patients with ICH in four hospitals were prospectively enrolled. SAP was defined according to the modified Centers for Disease Control and Prevention criteria. Data on the NLR, SII, SIRI and PLR were collected at admission, and the correlation between these factors and the clinical pulmonary infection score (CPIS) was assessed through Spearman's analysis.

Results

A total of 320 patients were enrolled in this study, among whom 126 (39.4%) developed SAP. The results of the receiver operating characteristic (ROC) analysis revealed that the NLR had the best predictive value for SAP (AUC: 0.748, 95% CI: 0.695-0.801), and this outcome remained significant after adjusting for other confounders in multivariable analysis (RR=1.090, 95% CI: 1.029-1.155). Among the four indexes, Spearman's analysis showed that the NLR was the most highly correlated with the CPIS (r=0.537, 95% CI: 0.395-0.654). The NLR could effectively predict ICU admission (AUC: 0.732, 95% CI: 0.671-0.786), and this finding remained significant in the multivariable analysis (RR=1.049, 95% CI: 1.009-1.089, P=0.036). Nomograms were created to predict the probability of SAP occurrence and ICU admission. Furthermore, the NLR could predict a good outcome at discharge (AUC: 0.761, 95% CI: 0.707-0.8147).

Conclusions

Among the four indexes, the NLR was the best predictor for SAP occurrence and a poor outcome at discharge in ICH patients. It can therefore be used for the early identification of severe SAP and to predict ICU admission.

Classification of white matter lesions and characteristics of small vessel disease markers

OBJECTIVES

Radiological markers for cerebral small vessel disease (SVD) may have different biological underpinnings in their development. We attempted to categorize SVD burden by integrating white matter signal abnormalities (WMSA) features and secondary presence of lacunes, microbleeds, and enlarged perivascular spaces.

METHODS

Data were acquired from 610 older adults (aged > 40 years) who underwent brain magnetic resonance imaging exam as part of a health checkup. The WMSA were classified individually by the number and size of non-contiguous lesions, distribution, and contrast. Age-detrended lacunes, microbleeds, and enlarged perivascular space were quantified to further categorize individuals. Clinical and laboratory values were compared across the individual classes.

RESULTS

Class I was characterized by multiple, small, deep WMSA but a low burden of lacunes and microbleeds; class II had large periventricular WMSA and a high burden of lacunes and microbleeds; and class III had limited juxtaventricular WMSA and lacked lacunes and microbleeds. Class II was associated with older age, diabetes, and a relatively higher neutrophil-to-lymphocyte ratio. Smoking and higher uric acid levels were associated with an increased risk of class I.

CONCLUSION

The heterogeneity of SVD was categorized into three classes with distinct clinical correlates. This categorization will improve our understanding of SVD pathophysiology, risk stratification, and outcome prediction.

KEY POINTS

• Classification of white matter signal abnormality (WMSA) features was associated with different characteristic of lacunes, microbleeds, and enlarged perivascular space and clinical variability. • Class I was characterized by multiple, small, deep WMSA but a low burden of lacunes and microbleeds. Class II had large periventricular WMSA and a high burden of lacunes and microbleeds. Class III had limited juxtaventricular WMSA and lacked lacunes and microbleeds. • Class II was associated with older age, diabetes, and higher neutrophil-to-lymphocyte ratio. Smoking and higher uric acid levels were associated with an increased risk of class I.

The Association of Inflammatory Markers with Maternal-Neonatal Outcome After Cervical Cerclage

Objective

Cervical cerclage is effective in prolonging the number of weeks gestation in patients with cervical insufficiency(CI). However, valuable predictors with successful cervical cerclage remain limited. It aimed to evaluate the value of the systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) to predict the outcomes of cervical cerclage.

Methods

This study analyzed 374 participants. Inflammatory markers were calculated using maternal peripheral blood. The association of inflammatory markers and the outcome of cervical cerclage were analyzed. And the optimal cut-off values of inflammatory markers were calculated. Also, the Chi-square test and logistic and linear regression analyses were performed to evaluate inflammatory markers with the maternal outcome and neonatal outcomes.

Results

374 pregnancies were included in this study. Finally, 268 (71.7%) participants suffered successful cervical cerclage. This study demonstrated that the baseline BMI (cm²/kg), the bulging membrane, cervical dilation (≥2cm), the amniotic sac herniation, the neutrophils counts, the systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were significant difference between the successful and unsuccessful groups (all P<0.05). Additionally, maternal blood inflammatory markers, such as WBC, lymphocyte, neutrophils, monocyte, platelet counts, SII, and SIRI, were significantly associated with maternal-neonatal outcomes. Furthermore, the results demonstrated that the SII level had the highest OR (OR=4.626; 95% CI (2.500-8.560)), as well as the following: SIRI level (OR = 3.795; 95% CI (1.989-7.242)), cervical dilation (≥2cm) (OR =3.477; 95% CI (1.458-10.844)), and amniotic sac herniation (OR = 1.796; 95% (0.473-4.975)).

Conclusion

This study demonstrated that the baseline SII level and SIRI level are important biochemical markers for predicting the outcome of cervical cerclage and maternal-neonatal outcomes with non-invasive procedures. They can help to provide personalized treatment before surgery and enhance postoperative surveillance.

Dynamic Change of Novel Systemic Inflammation Markers to Predict Maternal-Neonatal Prognosis After Cervical Cerclage

Objective

Cervical cerclage is an effective method to prevent preterm birth. However, the clinical indicators that can predict cervical cerclage remain limited. This study aimed to explore whether dynamically inflammatory markers are valuable biomarkers for the prognosis of cervical cerclage.

Methods

This study included 328 participants. Inflammatory markers were calculated using maternal peripheral blood before and after the cervical cerclage procedure. The Chi-square test, linear regression, and logistic regression were performed to evaluate the dynamic change of inflammatory markers with the prognosis of cervical cerclage. And the optimal cut-off values of inflammatory markers were calculated.

Results

Totally 328 pregnant women were analyzed in the study. 223 (67.99%) participants obtained successful cervical cerclage. This study revealed that the maternal age, the baseline BMI (cm²/kg), the times of gravida, the rate of recurrent abortion, the PPROM, cervical length shorter (<1.5cm), cervical dilation (≥2cm), the bulging membrane, the Pre-SII, the Pre-SIRI, the Post-SII, the Post-SIRI, and the ΔSII were significantly associated with outcomes after cervical cerclage (all P<0.05). Pre-SII, Pre-SIRI, Post-SII, Post-SIRI, and ΔSII levels were mainly related to maternal-neonatal outcomes. Furthermore, the results demonstrated that the ΔSII level had the highest OR (OR=14.560; 95% CI (4.461-47.518)). In addition, we revealed that Post-SII and ΔSII levels had the highest AUC (0.845/0.840) and relatively higher sensitivity/specificity (68.57/92.83% and 71.43/90.58%) and PPV/ NPV (81.82/86.25% and 78.13/87.07%) compared with other indicators.

Conclusion

This study suggested that the dynamic change of SII level and SIRI level are important biochemical markers to predict the prognosis of cervical cerclage and maternal-neonatal prognosis, especially the Post-SII and ΔSII levels. They can help to determine candidates for cervical cerclage before surgical procedure and enhance postoperative surveillance.

Correlations among peripheral blood markers, white matter hyperintensity, and cognitive function in patients with non-disabling ischemic cerebrovascular events

BACKGROUND

Both inflammation and cerebral white matter injury are closely associated with vascular cognitive impairment (VCI). The aim of this study was to analyze the correlation between peripheral serological markers, white matter injury, and cognitive function in patients with non-disabling ischemic cerebrovascular events (NICE); to identify potential biological markers for the diagnosis and prediction of VCI; and to provide a basis for the early diagnosis and intervention of VCI.

METHODS

We collected clinical data, along with demographic and medical history data, from 151 NICE patients. Fasting venous blood samples were collected. Based on the Montreal Cognitive Assessment (MoCA) after admission, we divided the patients into normal cognitive function (NCF) and VCI groups, and then classified them into mild white matter hyperintensity (mWMH) and severe white matter hyperintensity (sWMH) based on Fazekas scores. The differences in serological marker levels were compared between the cognitive function groups and the white matter hyperintensity groups. Binary logistic regression models and receiver operating characteristic curves were used to analyze the diagnostic predictive value of serological markers for VCI in patients with NICE and in the white matter hyperintensity subgroups.

RESULTS

Among 151 patients with NICE, 95 were male and 56 were female. Lymphocyte count (OR = 0.405, p = 0.010, 95% CI [0.201, 0.806]), red blood cell count (OR = 0.433, p = 0.010, 95% CI [0.228, 0.821]), and hemoglobin level (OR = 0.979, p = 0.046, 95% CI [0.958, 0.999]) were protective factors for cognitive function in patients with NICE. The sWMH group had a higher age, granulocyte/lymphoid ratio (NLR), and neutrophil percentage but a lower MoCA score, hemoglobin level, and lymphocyte count than the mWMH group. In the mWMH group, lymphocyte count (AUC = 0.713, p = 0.003, 95% CI [0.593, 0.833]) had an acceptable predictive value for the diagnosis of VCI, whereas white blood cell count (AUC = 0.672, p = 0.011, 95% CI [0.545, 0.799]), red blood cell count (AUC = 0.665, p = 0.014, 95% CI [0.545, 0.784]), and hemoglobin level (AUC = 0.634, p = 0.047, 95% CI [0.502, 0.765]) had marginal predictive value for the diagnosis of VCI. In the sWMH group, no significant differences were found in serological markers between the NCF and VCI groups.

CONCLUSION

Lymphocyte count, red blood cell count, and hemoglobin level were independent protective factors for cognitive function in patients with NICE; they can be used as potential biological markers to distinguish VCI in patients with NICE and are applicable to subgroups of patients with mWMH.

Correlation between neutrophil/lymphocyte ratio and cognitive impairment in cerebral small vessel disease patients: A retrospective study

Background and objective

The blood neutrophil/lymphocyte ratio (NLR) is an objective and convenient parameter of systemic inflammation. Elevated NLR is associated with an increased risk of mild cognitive impairment (CI) in the elderly. However, few data are available on the impact of the NLR on CI in patients with cerebral small vessel disease (CSVD).

Methods

A total of 66 CSVD subjects with CI and 81 CSVD subjects without CI were evaluated in this study. Clinical, laboratory, radiological, and cognitive parameters were collected. The NLR was obtained with the absolute neutrophil count being divided by the absolute lymphocyte count in fasting blood samples. Logistic regression analysis was performed to evaluate the factors associated with CI. Receiver operating characteristic curves were illustrated to predict factors associated with CI in patients with CSVD.

Results

The NLR of the CI group was significantly higher than that of subjects without CI (2.59 vs. 2.21, P = 0.003). In multivariate analysis, NLR was positively correlated to the CI (OR: 1.43, 95% CI: 1.05–1.96, P = 0.024). It was suggested that the optimum NLR cutoff point for CI was 1.89 with 69.7% sensitivity and 59.3% specificity. Subjects with NLR ≥ 1.89 showed higher possibilities of CI compared to those with NLR < 1.89 (OR: 3.38, 95% CI: 1.62–7.07).

Conclusions

Correlations were found between NLR and CI. Patients with CSVD who have higher NLR might have an increased risk of CI.

Association of inflammatory markers with cerebral small vessel disease in community-based population

Background

This study investigated the relationships of neutrophil count (NC), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) with cerebral small vessel disease (CSVD).

Methods

A total of 3052 community-dwelling residents from the Poly-vasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were involved in this cross-sectional study. CSVD burden and imaging markers, including white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces in basal ganglia (BG-EPVS), were assessed according to total CSVD burden score. The associations of NC, NLR and SII with CSVD and imaging markers were evaluated using logistic regression models. Furthermore, two-sample Mendelian randomization (MR) analysis was performed to investigate the genetically predicted effect of NC on CSVD. The prognostic performances of NC, NLR and SII for the presence of CSVD were assessed.

Results

At baseline, the mean age was 61.2 ± 6.7 years, and 53.5% of the participants were female. Higher NC was suggestively associated with increased total CSVD burden and modified total CSVD burden (Q4 vs. Q1: common odds ratio (cOR) 1.33, 95% CI 1.05–1.70; cOR 1.28, 95% CI 1.02–1.60) and marginally correlated with the presence of CSVD (OR 1.29, 95% CI 1.00–1.66). Furthermore, elevated NC was linked to a higher risk of lacune (OR 2.13, 95% CI 1.25–3.62) and moderate-to-severe BG-EPVS (OR 1.67, 95% CI 1.14–2.44). A greater NLR was related to moderate-to-severe BG-EPVS (OR 1.68, 95% CI 1.16–2.45). Individuals with a higher SII had an increased risk of modified WMH burden (OR 1.35, 95% CI 1.08–1.69) and moderate-to-severe BG-EPVS (OR 1.70, 95% CI 1.20–2.41). MR analysis showed that genetically predicted higher NC was associated with an increased risk of lacunar stroke (OR 1.20, 95% CI 1.04–1.39) and small vessel stroke (OR 1.21, 95% CI 1.06–1.38). The addition of NC to the basic model with traditional risk factors improved the predictive ability for the presence of CSVD, as validated by the net reclassification index and integrated discrimination index (all p < 0.05).

Conclusions

This community-based population study found a suggestive association between NC and CSVD, especially for BG-EPVS and lacune, and provided evidence supporting the prognostic significance of NC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-022-02468-0.

Systemic immune-inflammation index is associated with white matter hyperintensity volume

Systemic immune-inflammation index (SII) is a novel inflammatory marker based on the composition ratio of blood cell counts. In this study, we evaluated the association between the SII and cerebral small vessel disease (cSVD) in health check-up participants. We evaluated participants from our health check-up registry between 2006 and 2013. The SII was calculated using the following formula: SII = (platelet count × neutrophil count)/lymphocyte count. cSVD was assessed by considering white matter hyperintensity (WMH) volume, lacunes, and cerebral microbleeds (CMBs). A total of 3187 participants were assessed. In multivariable linear regression analysis, the SII was significantly related to WMH volume [β = 0.120, 95% confidence interval (CI) 0.050–0.189]. However, lacunes and CMBs showed no statistical significance with the SII. In the subgroup analysis by age, the SII was significantly associated with WMH volume only in participants aged ≥ 60 years (β = 0.225, 95% CI 0.068–0.381). In conclusion, a high SII was associated with cSVD. Since this association was more pronounced in WMH than in lacunes or CMBs, WMH might be closer to the inflammation-related pathological mechanisms.

Association between cerebral microbleeds and inflammatory biomarkers in patients with ischemic stroke

Background

Host inflammation has been studied in patients with ischemic stroke (IS) due to large vessel occlusions. Inflammatory markers were shown to correlate with large artery atherosclerosis and worse outcomes after ischemic stroke due to large vessel occlusions. However, the association between inflammation and cerebral small vessel disease (SVD) is controversial. Mostly studied are the white matter hyperintensities; however, results regarding association of white matter hyperintensities with inflammatory markers are conflicting. We aimed to investigate the association between cerebral microbleed (CMB) load, as an indicator of SVD, and inflammation indices in patients with IS.

Results

We identified 127 patients with IS admitted within 7 days of symptom onset. CMBs were detected in 37% (n: 47) of patients. Patient’s age and Fazekas score were independently associated with CMB load. Inflammatory biomarkers were not associated with the presence or quantitative burden of CMBs.

Conclusions

White matter damage and patient’s age predicted CMB presence and number, respectively, in IS patients. However, inflammatory markers failed to show any association with such SVD signs. Prospective studies with a higher number of stroke patients are needed in order to justify our findings.

High-Density Lipoprotein Is Associated with Leukoaraiosis Severity in Patients with Acute Ischemic Stroke

Many patients with acute ischemic stroke (AIS) are found to accompany with leukoaraiosis (LA) in brain imaging. The risk factors of LA in patients with AIS were examined in this study. Patients with AIS were recruited and underwent head magnetic resonance imaging. According to Fazekas scores, patients were divided into LA group and non-LA group. We compared demographic and laboratory characteristics in two groups. Multivariate logistic regression analysis demonstrated that high-density lipoprotein (HDL), age, stroke history, admission SBP, and homocysteine were independent risk factors for LA in patients with AIS (P < 0.05). Multinomial logistic regression analysis demonstrated that HDL was an independent risk factor for moderate LA (OR 4.151, 95% CI 1.898-9.078, P < 0.001) and severe LA (OR 3.151, 95% CI 1.350-7.358, P = 0.008). In order to further explore the correlation between HDL level and the severity of LA, HDL was categorized in quartiles and multinomial logistic regression analysis was presented. Regression analysis showed that HDL ≥ 1.34 mmol/L was correlated with moderate and severe LA after adjusting for corresponding confounding factors in different models. After 1-year follow-up, patients were divided into regular statin therapy group and irregular statin therapy group. There was no significant difference in HDL level between two groups; however, the proportion of patients with increased Fazekas scores in regular statin therapy group was significantly less than that in the irregular statin therapy group (P < 0.05). In conclusion, HDL was an independent risk factor for LA and associated with the severity of LA in patients with AIS; regular statin therapy may be negatively related with the progress of LA. These results provide more evidences for controlling risk factors and severity of LA in patient with AIS.

Neutrophil Albumin Ratio is Associated with All-Cause Mortality in Stroke Patients: A Retrospective Database Study

Objective

The novel biomarker, neutrophil percentage-to-albumin ratio (NPAR), as a prognostic tool for inflammation in relation to all-cause mortality for patients afflicted by strokes has yet to be explored.

Methods

Data sets associated with patient files stored within the MIMIC-III V1.4 database were obtained. Data files from 940-patients were obtained for this retrospective analysis. Clinical endpoints were determined to represent a month (30-), three months (90-) and year (365-) all-cause mortality in stroke patients were determined. In order to determine NPAR and clinical endpoint relationships, Cox proportional hazards models were utilized.

Results

For all-cause mortality within a 30-day period, in an unadjusted model, the HR (95% CIs) in group B (NPAR 20.5–25.0) and C (NPAR >25.0) was 1.17 (0.85, 1.63) and 1.55 (1.13, 2.11) compared with group A (NPAR < 20.5). Proceeding adjustment for more confounding factors, higher NPAR still obtained significant predictive power for 30-day all-cause mortality (HR= 1.45, 95% CI: 1.05, 2.00). Statistical significance (P = 0.0196) was also observed for the other time-based subgroupings for all-cause mortality.

Conclusion

A strong correlation was present between increased levels of the novel biomarker NPAR and increased risk of mortality in stroke patients.

Cross-Sectional Association Between Blood Cell Phenotypes, Cognitive Function, and Brain Imaging Measures in the Community-Based Framingham Heart Study

BACKGROUND

Peripheral inflammation is associated with increased risk for dementia. Neutrophil to lymphocyte ratio (NLR), red cell distribution width (RDW), and mean platelet volume (MPV), are easily measured circulating blood cell phenotypes reflecting chronic peripheral inflammation, but their association with dementia status is unclear.

OBJECTIVE

We sought to investigate the cross-sectional association of these inflammatory measures with neuropsychological (NP) test performance, and brain magnetic resonance imaging (MRI) measures in the Framingham Heart Study (FHS) Offspring, Third-generation, and Omni cohorts.

METHODS

We identified FHS participants who attended an exam that included a complete blood cell count (CBC) and underwent NP testing (n = 3,396) or brain MRI (n = 2,770) within five years of blood draw. We investigated the association between NLR, RDW, and MPV and NP test performance and structural MRI-derived volumetric measurements using linear mixed effect models accounting for family relationships and adjusting for potential confounders.

RESULTS

Participants were on average 60 years old, 53% female, and about 80% attended some college. Higher NLR was significantly associated with poorer performance on visual memory, and visuospatial abilities, as well as with larger white matter hyperintensity volume. We also observed associations for higher RDW with poorer executive function and smaller total cerebral brain volume.

CONCLUSION

Chronic peripheral inflammation as measured by NLR and RDW was associated with worse cognitive function, reduced brain volume, and greater microvascular disease in FHS participants. If confirmed in other samples, CBC may provide informative and cost-effective biomarkers of abnormal brain aging in the community.

The relationship between diabetes-related cognitive dysfunction and leukoaraiosis

Cognitive dysfunction is a degenerative disease of the central nervous system, which often associates with ageing brain as well as neurodegenerative diseases. A growing body of evidence suggests that patients with diabetes mellitus (DM) have a significantly higher risk of cognitive impairment. In recent years, studies have found that patients with diabetes-related cognitive dysfunction have an increased burden of leukoaraiosis (LA), and larger white matter hyperintensity (WMH) volume. With the recent advancement of technologies, multimodal imaging is widely exploited for the precise evaluation of central nervous system diseases. Emerging studies suggest that LA pathology can be used as a predictive signal of white matter lesions in patients with diabetes-related cognitive dysfunction, providing support for early identification and diagnosis of disease. This article reviews the findings, epidemiological characteristics, pathogenesis, imaging features, prevention and treatment of LA pathophysiology in patients with diabetes-related cognitive dysfunction.

MTT and Blood-Brain Barrier Disruption within Asymptomatic Vascular WM Lesions

BACKGROUND AND PURPOSE

White matter lesions of presumed ischemic origin are associated with progressive cognitive impairment and impaired BBB function. Studying the longitudinal effects of white matter lesion biomarkers that measure changes in perfusion and BBB patency within white matter lesions is required for long-term studies of lesion progression. We studied perfusion and BBB disruption within white matter lesions in asymptomatic subjects.

MATERIALS AND METHODS

Anatomic imaging was followed by consecutive dynamic contrast-enhanced and DSC imaging. White matter lesions in 21 asymptomatic individuals were determined using a Subject-Specific Sparse Dictionary Learning algorithm with manual correction. Perfusion-related parameters including CBF, MTT, the BBB leakage parameter, and volume transfer constant were determined.

RESULTS

MTT was significantly prolonged (7.88 [SD, 1.03] seconds) within white matter lesions compared with normal-appearing white (7.29 [SD, 1.14] seconds) and gray matter (6.67 [SD, 1.35] seconds). The volume transfer constant, measured by dynamic contrast-enhanced imaging, was significantly elevated (0.013 [SD, 0.017] minutes-1) in white matter lesions compared with normal-appearing white matter (0.007 [SD, 0.011] minutes-1). BBB disruption within white matter lesions was detected relative to normal white and gray matter using the DSC-BBB leakage parameter method so that increasing BBB disruption correlated with increasing white matter lesion volume (Spearman correlation coefficient = 0.44; P < .046).

CONCLUSIONS

A dual-contrast-injection MR imaging protocol combined with a 3D automated segmentation analysis pipeline was used to assess BBB disruption in white matter lesions on the basis of quantitative perfusion measures including the volume transfer constant (dynamic contrast-enhanced imaging), the BBB leakage parameter (DSC), and MTT (DSC). This protocol was able to detect early pathologic changes in otherwise healthy individuals.

Blood Neutrophil/Lymphocyte Ratio Is Associated With Cerebral Large-Artery Atherosclerosis but Not With Cerebral Small-Vessel Disease

Background and Objective: The blood neutrophil/lymphocyte ratio (NLR) is a marker of peripheral inflammation, with a high NLR associated with an increased risk of cardiovascular events and poor prognosis in ischemic stroke. However, few data are available on the differential impact of the blood NLR on different silent cerebral vascular pathologies, including cerebral large-artery atherosclerosis (LAA) and cerebral small-vessel disease (CSVD), in neurologically healthy individuals.

Methods: We evaluated cardiovascular risk factors, brain magnetic resonance imaging (MRI), and MR angiography of 950 individuals without any neurological diseases. The study participants were divided into three groups according to NLR tertile (low, middle, and high). The presences of extracranial (EC) and intracranial (IC) atherosclerosis were considered to indicate LAA on brain MR angiography. The presences of silent lacunar infarction (SLI) and cerebral white matter hyperintensities (WMHs) were analyzed as indices of CSVD on brain MRI.

Results: In univariate analysis, the high NLR tertile group showed a high prevalence of old age, hyperlipidemia, and renal dysfunction and higher fasting glucose. Multivariable logistic regression analysis revealed that indices of LAA (EC atherosclerosis [odds ratio: 1.88; 95% confidence interval: 1.14–3.09; p = 0.01] and IC atherosclerosis [odds ratio: 1.87; 95% confidence interval: 1.15–3.06; p = 0.01]) were more prevalent in the highest NLR tertile group than in the lowest NLR tertile group after adjustment for cardiovascular risk factors. However, no significant differences were found in the prevalence of CSVD indices (SLI and WMHs) among the three NLR tertile groups.

Conclusions: A high NLR is associated with the development of cerebral LAA but not CSVD.

A peripheral neutrophil-related inflammatory factor predicts a decline in executive function in mild Alzheimer's disease

Background

Studies suggest a role of the innate immune system, including the activity of neutrophils, in neurodegeneration related to Alzheimer’s disease (AD), but prospective cognitive data remain lacking in humans. We aimed to investigate the predictive relationship between neutrophil-associated inflammatory proteins in peripheral blood and changes in memory and executive function over 1 year in patients with AD.

Methods

Participants with AD were identified from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Neutrophil gelatinase-associated lipocalin (NGAL), myeloperoxidase (MPO), interleukin-8 (IL-8), macrophage inflammatory protein-1 beta (MIP-1β), and tumor necrosis factor (TNF) were assayed by luminex immunofluorescence multiplex assay at baseline. Confirmatory factor analysis was used to test an underlying neutrophil associated plasma inflammatory factor. Composite z-scores for memory and executive function were generated from multiple tests at baseline and at 1 year. A multiple linear regression model was used to investigate the association of the baseline inflammatory factor with changes in memory and executive function over 1 year.

Results

Among AD patients (n = 109, age = 74.8 ± 8.1, 42% women, Mini Mental State Examination [MMSE] = 23.6 ± 1.9), the neutrophil-related inflammatory proteins NGAL (λ = 0.595, p < .001), MPO (λ = 0.575, p < .001), IL-8 (λ = 0.525, p < .001), MIP-1β (λ = 0.411, p = .008), and TNF (λ = 0.475, p < .001) were found to inform an underlying factor. Over 1 year, this inflammatory factor predicted a decline in executive function (β = − 0.152, p = 0.015) but not memory (β = 0.030, p = 0.577) in models controlling for demographics, brain atrophy, white matter hyperintensities, the ApoE ε4 allele, concomitant medications, and baseline cognitive performance.

Conclusions

An inflammatory factor constructed from five neutrophil-related markers in peripheral blood predicted a decline in executive function over 1 year in people with mild AD.

Inflammation and cerebral small vessel disease: A systematic review

Inflammation is increasingly implicated as a risk factor for dementia, stroke, and small vessel disease (SVD). However, the underlying mechanisms and causative pathways remain unclear. We systematically reviewed the existing literature on the associations between markers of inflammation and SVD (i.e., white matter hyperintensities (WMH), lacunes, enlarged perivascular spaces (EPVS), cerebral microbleeds (CMB)) in cohorts of older people with good health, cerebrovascular disease, or cognitive impairment. Based on distinctions made in the literature, markers of inflammation were classified as systemic inflammation (e.g. C-reactive protein, interleukin-6, fibrinogen) or vascular inflammation/endothelial dysfunction (e.g. homocysteine, von Willebrand factor, Lp-PLA2). Evidence from 82 articles revealed relatively robust associations between SVD and markers of vascular inflammation, especially amongst stroke patients, suggesting that alterations to the endothelium and blood-brain barrier may be a driving force behind SVD. Conversely, cross-sectional findings on systemic inflammation were mixed, although longitudinal investigations demonstrated that elevated levels of systemic inflammatory markers at baseline predicted subsequent SVD severity and progression. Importantly, regional analysis revealed that systemic and vascular inflammation were differentially related to two distinct forms of SVD. Specifically, markers of vascular inflammation tended to be associated with SVD in areas typical of hypertensive arteriopathy (e.g., basal ganglia), while systemic inflammation appeared to be involved in CAA-related vascular damage (e.g., centrum semiovale). Nonetheless, there is insufficient data to establish whether inflammation is causal of, or secondary to, SVD. Findings have important implications on interventions, suggesting the potential utility of treatments targeting the brain endothelium and blood brain barrier to combat SVD and associated neurodegenerative diseases.

Favorable impact of non-alcoholic fatty liver disease on the cerebral white matter hyperintensity in a neurologically healthy population

BACKGROUND AND PURPOSE

Although non-alcoholic fatty liver disease (NAFLD) shares common cardiovascular risk factors with cerebral white matter hyperintensity (WMH), few studies have reported the association between NAFLD and WMH. The association between the presence of NAFLD with its severity and the volume of WMH was investigated.

METHODS

This cross-sectional study was conducted for 2460 subjects who voluntarily participated in health screening check-ups including brain magnetic resonance imaging and liver ultrasonography at the Health Promotion Center at Seoul National University Hospital from 2009 to 2013. Ultrasonography was used to detect the presence and severity of NAFLD combined with the NAFLD fibrosis score and the FIB-4 index. The volume of WMH was measured using a semi-automated quantification method by a trained neurologist.

RESULTS

The prevalence of NAFLD was 36.5%, and the median volume of WMH in all the subjects was 1.1 ml (interquartile range 0.2-2.7 ml). The presence of NAFLD was associated with a smaller volume of WMH [β (standard error, SE) -0.051 (0.046); P = 0.012]. Moderate to severe NAFLD was associated with a smaller volume of WMH than was non-NAFLD [β (SE) -0.067 (0.061); P = 0.002]. The negative correlation observed between NAFLD severity and WMH volume was persistent only in those with low FIB-4 index and low NAFLD fibrosis scores, whereas there was a positive association in those with high FIB-4 index and NAFLD fibrosis scores.

CONCLUSIONS

Non-alcoholic fatty liver disease, and its severity, showed a favorable association with WMH volume. However, its causality and mechanism should be evaluated in further relevantly designed studies.

Cardiovascular disease and brain health: Focus on white matter hyperintensities

Diseases affecting the brain contribute to a substantial proportion of morbidity and mortality in the general population. Conditions such as stroke, dementia and cognitive impairment have a prominent impact on global public health. Despite the heterogeneous clinical manifestations of these conditions and their diverse prognostic implications, current evidence supports a role for cardiovascular disease as a common pathophysiological ground. Brain white matter hyperintensities (WMH) are patchy white matter signal hyperintensity on T2-weighted magnetic resonance imaging sequences commonly found in elderly individuals. WMH appear to have a vascular pathogenesis and have been shown to confer an increased risk of stroke and cognitive decline. Indeed, they were proposed as a marker for central nervous system frailty. Cardiovascular diseases seem to play a key role in the etiology of WMH. Carotid atherosclerosis and atrial fibrillation were shown to be associated with higher WMH burden, while adequate blood pressure control has been reported reducing WMH progression. Aim of the present work is to review the available evidence linking WMH to cardiovascular disease, highlighting the complex interplay between cerebral and cardiovascular health.

Temporal changes in the neutrophil to lymphocyte ratio and the neurological progression in cryptogenic stroke with active cancer

Background

Ischemic stroke patients with active cancer frequently experience early neurological deterioration (END); however, the predictors of END are not well studied. The neutrophil to lymphocyte ratio (NLR) has recently been described as a predictor of poor outcomes in cancer and stroke. However, its role in cancer-related stroke has not been addressed.

Aim

We aimed to evaluate the association between the NLR and END in cancer-related stroke patients.

Methods

We included 85 cryptogenic stroke patients with active cancer. END was defined as an increase ≥ 4 on the total National Institutes of Health Stroke Scale (NIHSS) score within 72 hours of admission. The NLR was calculated as the ratio of the absolute neutrophil count to the absolute lymphocyte count. We obtained the NLR during the following three periods: at admission, 1–3 days after admission (D 1–3 NLR) and 4–7 days after admission (D 4–7 NLR).

Results

END occurred in 15 (18%) of the 85 patients. END was significantly associated with the initial NIHSS score, infarction volume, and the D 1–3 NLR. In multivariate analysis, a higher D 1–3 NLR, measured before END events, remained an independent predictor of END [adjusted odds ratio = 2.78, 95% confidence interval = 1.09–7.08, P = 0.032]. In terms of temporal changes in the NLR, the END group showed a tendency toward temporal increase in the NLR at D 1–3 (P = 0.061) with subsequent decrements in the D 4–7 NLR (P = 0.088), while the non-END group showed no significant changes in the NLR between periods.

Conclusions

This study demonstrated that a higher NLR could predict END events in cryptogenic stroke patients with active cancer. However, the results should be confirmed in further large prospective studies.

High neutrophil to lymphocyte ratios predict intracranial atherosclerosis in a healthy population

BACKGROUND AND AIMS

Although atherosclerosis has been shown to be an inflammatory disease, intracranial atherosclerosis (ICAS) has not been well addressed. The purpose of this study was to evaluate the relationship between the neutrophil to lymphocyte ratio (NLR) and the presence of ICAS lesions in a generally healthy population.

METHODS

A consecutive series of subjects, who voluntarily visited for health check-ups between January 2006 and December 2013, were selected. Brain magnetic resonance imaging, brain magnetic angiography (MRA), and blood cell count data were assessed. ICAS was defined as an occlusion or more than 50% stenosis of intracranial vessels, as observed on brain MRA images. NLR was calculated based on absolute neutrophil and lymphocyte counts.

RESULTS

A total of 2842 subjects were evaluated, and 76 ICAS cases were found. The median NLR was 1.52 [1.17-2.01]. In multivariate analysis, NLR remained an independent predictor of ICAS [adjusted OR (aOR) = 1.72, 95% confidence interval (CI) = 1.01-2.95, p = 0.048]. Age (aOR = 1.08, 95% CI = 1.05-1.11, p < 0.001) and hypertension (aOR = 1.81, 95% CI = 1.11-2.94, p = 0.017) were also significant factors for ICAS independent of NLR. Regarding ICAS burdens, NLR was significantly higher when the number of ICAS lesions (p = 0.017) or occlusive ICAS lesions (p = 0.005) was increased in a dose-response manner.

CONCLUSIONS

A high NLR was associated with both prevalence and burdens of ICAS in a healthy population.