Association of neutrophil-to-lymphocyte ratio with early renal dysfunction and albuminuria among diabetic patients

Association between neutrophil-to-lymphocyte ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study

Aims

This investigation examined the possibility of a relationship between neutrophil-to-lymphocyte ratio (NLR) and diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients.

Methods

Adults with T2DM who were included in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2020 were the subjects of the current cross-sectional investigation. Low estimated glomerular filtration rate (eGFR) (< 60 mL/min/1.73 m2) or albuminuria (urinary albumin-to-creatinine ratio (ACR) ≥ 30 mg/g) in T2DM patients were the diagnostic criteria for DKD. Weighted multivariable logistic regression models and generalized additive models were used to investigate the independent relationships between NLR levels with DKD, albuminuria, and low-eGFR. Additionally, we examined the relationships between DKD, albuminuria, and low-eGFR with other inflammatory markers, such as the aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), system inflammation response index (SIRI), and platelet-to-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR). Their diagnostic capabilities were evaluated and contrasted using receiver operating characteristic (ROC) curves.

Results

44.65% of the 7,153 participants who were recruited for this study were males. DKD, albuminuria, and low-eGFR were prevalent in 31.76%, 23.08%, and 14.55% of cases, respectively. Positive correlations were seen between the NLR with the prevalences of DKD, albuminuria, and low-eGFR. Subgroup analysis and interaction tests revealed that the associations of NLR with DKD, albuminuria, and low-eGFR were not significantly different across populations. In addition, MLR, SII and SIRI showed positive associations with the prevalence of DKD. ROC analysis discovered that when compared to other inflammatory markers (MLR, PLR, SII, SIRI, and AISI), NLR may demonstrate more discriminatory power and accuracy in assessing the risk of DKD, albuminuria, and low-eGFR.

Conclusion

Compared to other inflammatory markers (MLR, PLR, SII, SIRI, and AISI), NLR may serve as the more effective potential inflammatory marker for identifying the risk of DKD, albuminuria, and low-eGFR in US T2DM patients. T2DM patients with elevated levels of NLR, MLR, SII, and SIRI should be closely monitored for their potential risk to renal function.

Neutrophil-to-lymphocyte ratio in relation to trauma severity as prognosis factors in patients with multiple injuries complicated by multiple organ dysfunction syndrome: A retrospective analysis

OBJECTIVE

This study aimed to explore potential risk factors for the occurrence of multiple organ dysfunction syndrome (MODS) in patients with multiple injuries by evaluating neutrophil-to-lymphocyte ratio (NLR)-associated trauma severity.

METHODS

This retrospective case-control study included 95 patients with multiple injuries, who were admitted to our hospital (between January 2018 and December 2020). Clinical data including gender, age, underlying disease, number of injury sites (NIS), injury severity score (ISS), hemoglobin level within 24 h of admission (HL-24h), neutrophil count (NC), white blood cell count, platelet count (PC), NLR, d-dimer level, activated partial thromboplastin time (APTT), complicated shock within 24 h of admission (CS-24h), length of stay, as well as prognostic outcome was systematically analyzed. According to MODS occurrence, patients were divided into a MODS group (n = 27) and a non-MODS group (n = 68). The risk factors affecting patients with multiple injuries complicated by MODS were identified using univariate and multivariate logistic regression analyses. Candidate risk factors were further analyzed using receiver operating characteristic (ROC) curves.

RESULTS

Univariate analysis revealed a significant difference between the MODS and non-MODA groups in terms of NIS, ISS, HL-24h, PC, APTT, d-dimer level, CS-24h, NLR, NC, prognostic outcome, and other indicators (p < .05). Multivariate logistic regression analysis showed that  d-dimer levels within 24 h of admission and ISS, NLR, and CS-24h were significantly associated with multiple injuries complicated by MODS. Compared with the non-MODS controls, the NLR in the MODS group showed a much higher level and tended to rise with the increase in ISS score, indicating a significant intergroup difference (p < .05). The ROC curve analysis results suggested that the NLR had good sensitivity and specificity for predicting the prognosis of patients with MODS with multiple injuries.

CONCLUSION

d-dimer level, ISS, NLR, and CS-24h are important risk factors for MODS in patients with multiple injuries. Notably, NLR expression may be a good indicator of injury severity and predictor of the occurrence of MODS in patients with multiple injuries. Therefore, assessment of injury severity and coagulation function, active resuscitation, as well as prevention of infection should be emphasized during treatment of multiple injuries, to reduce and prevent the risk of MODS in patients with multiple injuries.

The Correlation of the Neutrophil-to-Lymphocyte Ratio With Microvascular Complications in Patients With Diabetes Mellitus

Background High neutrophil-to-lymphocyte ratio (NLR) may be used as a reliable measure of vascular complications and an indicator of poor outcomes in cases of diabetes mellitus (DM). Methods A prospective analytical cross-sectional observational study was conducted at the Rajendra Institute of Medical Sciences (RIMS), Ranchi, Jharkhand, India. A total of 100 patients with DM who met the inclusion and exclusion criteria were included in the study. A pre-tested and semi-structured questionnaire was given to the patients. IBM SPSS software version 26 (IBM Corp., Armonk, NY, USA) and MedCalc trial version 20.114 (MedCalc Software Ltd., Ostend, Belgium) were used for data analysis. Logistic regression analysis was performed to determine the association of the NLR with microvascular complications. Results In our study, the male-to-female ratio was 1.78:1 (male: 64 (n)%, female: 36 (n)%). The mean age of our study population was 56.28 ± 13.24 years. Of 58 patients with microvascular complications, 34 had a high NLR, and 24 patients had a normal NLR. Of 42 patients without microvascular complications, only 14 had a high NLR, and the remaining 28 patients had a normal NLR (p = 0.012). Logistic regression was performed to analyze the association between the NLR and microvascular complications, which demonstrated a significant association (odds ratio (OR): 2.833, 95% confidence interval (CI): 1.238-6.481; p = 0.013). Conclusions Our study demonstrated the higher odds of having microvascular complications among diabetics with a high NLR compared with non-diabetics. Therefore, the NLR may be used as a measure of microvascular complications in the diabetic population.

GBP2 promotes M1 macrophage polarization by activating the notch1 signaling pathway in diabetic nephropathy

Background

Diabetic nephropathy (DN) is one of the most common diabetic complications, which has become the primary cause of end-stage renal disease (ESRD) globally. Macrophage infiltration has been proven vital in the occurrence and development of DN. This study was designed to investigate the hub genes involved in macrophage-mediated inflammation of DN via bioinformatics analysis and experimental validation.

Methods

Gene microarray datasets were obtained from the Gene Expression Omnibus (GEO) public website. Integrating the CIBERSORT, weighted gene co-expression network analysis (WGCNA) and DEGs, we screened macrophage M1-associated key genes with the highest intramodular connectivity. Subsequently, the Least Absolute Shrinkage and Selection Operator (LASSO) regression was utilized to further mine hub genes. GSE104954 acted as an external validation to predict the expression levels and diagnostic performance of these hub genes. The Nephroseq online platform was employed to evaluate the clinical implications of these hub genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to elucidate the dominant biological functions and signal pathways. Finally, we conducted experiments to verify the role of GBP2 in M1 macrophage-mediated inflammatory response and the underlying mechanism of this role.

Results

Sixteen DEGs with the highest connectivity in M1 macrophages-associated module (paleturquoise module) were determined. Subsequently, we identified four hub genes through LASSO regression analysis, including CASP1, MS4A4A, CD53, and GBP2. Consistent with the training set, expression levels of these four hub genes manifested memorably elevated and the ROC curves indicated a good diagnostic accuracy with an area under the curve of greater than 0.8. Clinically, enhanced expression of these four hub genes predicted worse outcomes of DN patients. Given the known correlation between the first three hub genes and macrophage-mediated inflammation, experiments were performed to demonstrate the effect of GBP2, which proved that GBP2 contributed to M1 polarization of macrophages by activating the notch1 signaling pathway.

Conclusion

Our findings detected four hub genes, namely CASP1, MS4A4A, CD53, and GBP2, may involve in the progression of DN via pro-inflammatory M1 macrophage phenotype. GBP2 could be a promising prognostic biomarker and intervention target for DN by regulating M1 polarization.

Circulating 18-Glycosyl Hydrolase Protein Chitiotriosidase-1 is Associated with Renal Dysfunction and Systemic Inflammation in Diabetic Kidney Disease

Introduction

Chitotriosidase-1 (CHIT-1) is a marker of macrophage activation and recently attributed to type 2 diabetes mellitus (T2DM). However, its role in the development and progression of diabetic kidney disease (DKD) has been sparsely discussed in the recent literature.

Materials and Methods

In this cross-sectional exploratory study, 81 participants with T2DM were classified into two groups based on the presence of DKD. Their anthropometric, biochemical, and pathological profiles were estimated. Circulatory CHIT-1 concentration was determined using the enzyme-linked immuno-sorbent assay (ELISA) in plasma.

Results

CHIT-1 was significantly elevated in diabetic nephropathy, independent of age and gender. It is associated with severity of kidney disease, as assessed using urinary protein-creatinine ratio (uPCR) in a multiple linear regression model, independent of age, gender, diabetes duration, and insulin resistance. CHIT-1 positively predicted the likelihood of DKD in the study population (area under the curve = 0.724, P < 0.05). The duration of diabetes correlated positively with uPCR and negatively with estimated glomerular-filtration rate. Neutrophil-Lymphocyte ratio was elevated in participants with DKD. This well-established marker of systemic inflammation exhibited significant positive association with CHIT-1.

Conclusion

Plasma CHIT-1 protein is elevated in DKD and associated with disease progression. It is capable of reflecting disease severity and is closely related to systemic inflammation possibly caused by pro-inflammatory circulatory immune cells.

Interaction of Uric Acid and Neutrophil-to-Lymphocyte Ratio for Cardiometabolic Risk Stratification and Prognosis in Coronary Artery Disease Patients

Oxidative stress and inflammation are key factors in cardiometabolic diseases. We set out to evaluate the relationship between serum uric acid (UA) and the neutrophil-to-lymphocyte ratio (NLR) with cardiometabolic risk factors in coronary artery disease (CAD) patients, and their additive and multiplicative interactive effects on outcomes (cardiac death/CD and hard events (HE)-death plus reinfarction). A total of 2712 patients (67 ± 11 years, 1960 males) who underwent coronary angiography was retrospectively analyzed and categorized into no-CAD patients (n =806), stable-CAD patients (n =1545), and patients with acute myocardial infarction (AMI) (n =361). UA and NLR were reciprocally correlated and associated with cardiometabolic risk factors. During a mean follow-up period of 27 ± 20 months, 99-3.6% deaths, and 213-7.8% HE were registered. The Kaplan-Meier survival estimates showed significantly worse outcomes in patients with elevated UA or NLR levels. Multivariate Cox regression analysis demonstrated that NLR independently predicted CD and HE. There was no multiplicative interaction between UA and NLR; however, the use of measures of additive interaction evidenced a positive additive interaction between UA and NLR for CD and HE. Although it is clear that correlation does not imply causation, the coexistence of NRL and UA appears to have a synergistic effect, providing further information for the risk stratification of CAD patients.

The Predictive Value of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Levels of Diabetic Peripheral Neuropathy

Objective

This study was designed to assess the levels of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in diabetes patients to determine their prognostic value in predicting the disease of diabetic peripheral neuropathy (DPN).

Methods

We recruited 225 diabetes cases from the department of endocrinology of Anhui Provincial Hospital from August 2018 to October 2019. A total of 103 patients without diabetic peripheral neuropathy (DPN) were followed up for 18 months, and the number of patients of newly diagnosed DPN was counted. According to the results of neuroelectrophysiological examination, these patients were divided into the diabetes mellitus (DM) without DPN group and the DM with DPN group. The general information and results of blood samples were collected. The collected data were compared between groups, and the receiver operating characteristic curve (ROC) was drawn. The follow-up data were compared between groups and Binary Logistic regression analysis was performed.

Results

Patients with DPN shared distinct characteristics. For example, the patients were older, and had higher levels of inflammatory indicators (ie, levels of PLR and NLR), and lower level of indirect bilirubin, compared with patients without DPN. According to the receiver operating characteristic curve analysis, for type 1 diabetes, PLR showed the highest area under the curve (0.753). For type 2 diabetes, NLR showed the highest AUC of 0.602. For the follow-up results, patients with newly diagnosed DPN bad higher NLR level.

Conclusion

If patients of type 1 and type 2 diabetes are combined with elevated level of PLR and NLR, respectively, they are more likely complicated with DPN. NLR and PLR could be used as predictors to help clinicians screening for DPN in different types of diabetes. For type 1 diabetes, if patients who were without DPN had higher NLR level, the risk of developing DPN in the future will be greatly increased.

Neutrophil count as a reliable marker for diabetic kidney disease in autoimmune diabetes

BACKGROUND

A growing body of evidence supports neutrophils as having an active role in the development of diabetic kidney disease (DKD). However, the clinical relevance of neutrophils and DKD in autoimmune diabetes remains unknown. This study aimed to investigate the relationship between circulating neutrophils and DKD in autoimmune diabetes.

METHODS

Patients with type 1 diabetes (T1D, n = 226) and latent autoimmune diabetes in adults (LADA, n = 79) were enrolled and stratified according to the urinary albumin to creatinine ratio (ACR). Circulating levels of white blood cells (WBCs), including neutrophils, were measured in a central laboratory, and the neutrophil-to-lymphocyte ratio (NLR) was calculated. The risk factors associated with DKD were analysed by logistic regression.

RESULTS

In T1D and LADA patients, the peripheral neutrophil counts increased in parallel with DKD advancement. The neutrophil counts in the patients with macroalbuminuria were significantly higher than those in the patients with normoalbuminuria for each type of diabetes. Furthermore, neutrophil counts positively correlated with ACR in T1D. In addition, neutrophils were independently associated with DKD in T1D in the logistic regression analysis, when various well-known risk factors, including age, gender, disease duration, hypertension, dyslipidemia and smoking status, were adjusted.

CONCLUSIONS

Neutrophil counts are closely associated with DKD in patients with autoimmune diabetes, suggesting that neutrophil-mediated inflammation may be involved in the pathogenesis of DKD in patients with autoimmune diabetes.

Neutrophil-to-lymphocyte ratio is a predictor of renal dysfunction in Japanese patients with type 2 diabetes

BACKGROUND

Neutrophil-to-lymphocyte ratio (NLR) has been widely evaluated as a biomarker in various medical and surgical prognoses, but its usefulness in diabetic kidney disease is not yet known.

METHODS

This prospective observational study included outpatients, comprised of 184 men aged 73 ± 11 (mean ± standard deviation) years and 174 women aged 76 ± 10 years at baseline, from a rural hospital. We examined the relationship between baseline NLR calculated by analyzing the differential leukocyte counts in the complete blood count and the 2-year estimated glomerular filtration rate (eGFR) decline rate (i.e. 2-year eGFR-baseline eGFR) ∗100/baseline eGFR. Rapid eGFR decline rate was defined as a value < -25%.

RESULTS

Multiple linear regression analysis using rapid eGFR decline rates as objective variables, adjusted for confounding factors as explanatory variables, showed that NLR (β = 0.138, p = 0.007) as well as presence of antidyslipidemic medication, hemoglobinA1c, and urinary albumin excretion stage were significantly and independently associated with a rapid eGFR decline rate. The multivariate-adjusted odds ratios (95% confidence interval) of the 2nd and 3rd tertiles of baseline NLR for rapid eGFR decline rate were 3.62 (0.70-18.7) and 8.03 (1.54-41.9), respectively. Multivariate-adjusted mean eGFR (95% confidence interval) values after 2 years categorized by tertile of baseline NLR were: 1st, 63.9 (61.8-66.1); 2nd, 60.8 (58.7-62.9); and 3rd, 58.9 (56.8-61.0).

CONCLUSIONS

These results suggest that baseline NLR might be a useful biomarker for renal function decline in outpatients with diabetes.

Systemic Inflammatory Markers Predict Detrimental Outcome of Urosepsis in Kidney Transplant Recipients

BACKGROUND

Urosepsis is a frequent cause of hospitalization among kidney transplant recipients (KTxR). Systemic inflammatory markers may reflect disease severity; nevertheless, their predictive value has not been evaluated in KTxRs.

AIMS

We sought to investigate the diagnostic and prognostic value of blood-derived systemic inflammatory markers during urosepsis in KTxR.

METHODS

We retrospectively enrolled 80 transplant recipients who were hospitalized between 2014 and 2017 due to urosepsis and followed for at least 1 year. Multiple parameters were calculated from medical records. The study endpoint was defined as death, graft loss, or a more than double serum creatinine level compared with baseline.

RESULTS

Seventeen patients reached an endpoint and presented at admission significantly lower total serum protein [g/dL] (5.0 ± 0.6 vs 6.0 ± 0.7) and higher urea [mg/dL] (161, 118-218 vs 80, 56-125), neutrophil-to-lymphocyte ratio (NLR) (20.0, 12.5-48.3 vs 12.9, 7.0-20.1), platelet-to-lymphocyte ratio (PLR) (447, 203-706 vs 231, 160-357), derived neutrophil-to-lymphocyte ratio (dNLR) (8.5, 5.6-10.4 vs 5.3, 2.9-8.5), and maximal Sequential Organ Failure Assessment (SOFA) score (6, 4-7 vs 3, 3-5). Among blood markers, NLR showed the strongest correlation with C-reactive protein, procalcitonin, creatinine, urea, and maximal SOFA score. The NLR cut-off value >15 predicted endpoint occurrence with 59% specificity and 75% sensitivity (area under the curve [AUC] 0.67, P = .038). The combined impact of NLR, urea, and total serum protein increased the prognostic precision (sensitivity 85% and specificity 84%, AUC = 0.88, P < .001).

CONCLUSIONS

The combined impact of NLR, urea, and total serum protein identifies KTxR who are at risk of a bad outcome after urosepsis and require more meticulous care.

Pathogenic Pathways and Therapeutic Approaches Targeting Inflammation in Diabetic Nephropathy

Diabetic nephropathy (DN) is associated with an increased morbidity and mortality, resulting in elevated cost for public health systems. DN is the main cause of chronic kidney disease (CKD) and its incidence increases the number of patients that develop the end-stage renal disease (ESRD). There are growing epidemiological and preclinical evidence about the close relationship between inflammatory response and the occurrence and progression of DN. Several anti-inflammatory strategies targeting specific inflammatory mediators (cell adhesion molecules, chemokines and cytokines) and intracellular signaling pathways have shown beneficial effects in experimental models of DN, decreasing proteinuria and renal lesions. A number of inflammatory molecules have been shown useful to identify diabetic patients at high risk of developing renal complications. In this review, we focus on the key role of inflammation in the genesis and progression of DN, with a special interest in effector molecules and activated intracellular pathways leading to renal damage, as well as a comprehensive update of new therapeutic strategies targeting inflammation to prevent and/or retard renal injury.