The aim of this study was to determine the relationship between albuminuria and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and monocyte-to-high density lipoprotein-cholesterol ratio (MHR).

Patients with type 2 diabetes mellitus diagnosis, aged over 18, had estimated glomerular filtration rate (eGFR) ≥60 mL/dk/1.73 m2 included. Patients were divided into groups according to ACR values: <30 mg/g (group 1), 30-300 mg/g (group 2) and >300 mg/g (group 3). We examined whether there was a significant difference in NLR, PLR, and MHR among the three groups.

A total of 360 patients were included in the study. NLR was significantly higher in group 3 than in group 1 (p = 0.016). There was no significant difference in PLR or MHR among the three groups (p = 0.312 and p = 0.687, respectively). A significant difference was detected in NLR in comparison between the groups with and without diabetic nephropathy, but there was no significant difference in PLR or MHR (p = 0.028; p = 0.950 and p = 0.389, respectively). NLR correlated with creatinine and ACR (r: 0.166, p = 0.002; r: 0.144, p = 0.006, respectively). MHR correlated positively with creatinine (r: 0.25.3, p = 0.016, respectively).

NLR was significantly higher in the diabetic nephropathy group than in the non-diabetic nephropathy group. This may suggest that NLR can be used as a prognostic marker in diabetic nephropathy. Although there was no significant relationship between MHR and albuminuria, MHR positively correlated with creatinine and negatively correlated with eGFR. Therefore, MHR may be useful in monitoring the development and progression of chronic kidney disease in diabetic patients rather than in the early stages. However, further studies are needed.

As inflammation plays a role in the pathogenesis of DM, we aimed to show the relationship between the best indicator of DM-HbA1c levels and inflammatory parameters Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in the present study.

This study was conducted in December 2023 at Ankara Bilkent Training and Research Hospital Clinical Biochemistry Department with a total of 136 participants. The data were analyzed with SPSS for Windows, Version 22, and Microsoft Excel 365.

In the study, the subjects were divided into three groups according to their HbA1c levels: DM group (HbA1c ≥ 6.5 %), Pre-DM group (HbA1c ≥ 5.7 and < 6.5 %), and control group (HbA1c < 5.7 %). The NLR values were statistically different in control between the T2DM patients and control group and the T2DM patients and Pre-DM people (p = 0.025), (p = 0.034) respectively. The platelet and PLR levels were not statistically significant in group comparisons.

In light of our findings, we propose a greater emphasis on routinely measuring inflammatory markers, such as NLR, in order to evaluate the glycemic control in patients with type 2 diabetes. We suggest that inflammatory marker-based approaches may be useful to monitor disease progression and maximize treatment outcomes in type 2 diabetes.

Systemic inflammation has an important role in the prognosis and progression of many chronic diseases, including diabetes (T2DM). This retrospective study aimed to evaluate inflammatory status by determining the serum inflammatory biomarkers (PTX3, hs-CRP, TNF-α, and IL-6) and new indices, like the mean corpuscular volume (MCV) to lymphocyte ratio (MCVL) and cumulative inflammatory index (IIC), in a cohort of patients with prediabetes (PreDM) and newly diagnosed T2DM. We also wanted to assess the association with clinical parameters and different obesity-related indices, to identify possible correlations and to evaluate the diagnostic accuracy of the biomarkers using ROC curve analysis. In this study, we included 60 patients diagnosed with T2DM and 30 patients with PreDM. The ELISA method was applied. Elevated PTX3, hs-CRP, TNF-α, and IL-6 levels were found in T2DM patients compared to preDM patients. An independent relationship was found between PTX3, hs-CRP, and different obesity-related indices in patients with preDM and T2DM. The MCVL index exhibited an inverse trend proportional to the rising levels of HbA1c in the T2DM group. Spearman's analysis revealed in the T2DM group that the PTX3 values correlated much better with IIC (rho = 0.445, p-value = 0.014) and MCVL (rho = 0.338, p-value = 0.048). Hs-CRP values expressed moderate-to-weak correlations with IIC and MCVL in both groups. Additionally, ROC analysis showed that the PTX3 (AUC was 0.720; p = 0.003; cut-off value 1888.00 pg/mL, with 67.60% sensitivity and 73.30% specificity) and MCVL index (AUC was 0.677; p = 0.047; cut-off value 39.60, with 63.30% sensitivity and 66.70% specificity) have a good, accurate diagnosis compared with IL-6 (AUC was 0.866; p < 0.0001; cut-off value 40.30 pg/mL, with 100.00% sensitivity and 60.00% specificity). IIC showed 61.70% sensitivity and 60.00% specificity, with an AUC of 0.572, p = 0.027 and a cut-off value of 2.35. PTX3 and MCVL can serve as independent predictor factors in the inflammatory status in preDM and T2DM patients, supporting their potential as biomarkers for T2DM management and future research.

Background and Objectives: Diabetic nephropathy (DN) is a major complication of diabetes mellitus and a leading cause of end-stage renal disease. Inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and red cell distribution width (RDW) have been proposed as potential predictors of DN progression. This study systematically reviews and meta-analyzes the role of these markers in DN. Materials and Methods: A comprehensive literature search was conducted to identify studies evaluating NLR, PLR, SII, and RDW in type 2 diabetes patients with normoalbuminuria, microalbuminuria, and macroalbuminuria. Five databases were searched: PubMed, Scopus, Embase, Web of Science, and LILACS. The Newcastle Ottawa Scale was used to assess the risk of bias in selected articles. Results: Out of 1556 records that were identified through searches, 40 were selected for the review. Finally, 35 were included for meta-analyses, including 13,519 patients. Higher levels of NLR, PLR, SII, and RDW were observed in macro- and microalbuminuria compared to normoalbuminuria, with significantly elevated NLR in microalbuminuria. Meta-analyses showed that NLR and RDW were significantly associated with higher odds of DN (NLR: OR 1.84, p < 0.001; RDW: OR 1.9, p = 0.023). However, PLR and SII were not significantly associated with DN. A longitudinal study confirmed SII as a significant predictor of DN progression (hazard ratio: 3.24, p = 0.023). Conclusions: This study highlights the potential of NLR and RDW as predictive markers for diabetic nephropathy.

Background Type 2 diabetes mellitus (T2DM) is associated with a high risk of developing microvascular complications such as diabetic nephropathy, diabetic neuropathy (DN), and diabetic retinopathy (DR), leading to significant morbidity. Early detection of these complications is crucial for improving patient outcomes. Neutrophil-lymphocyte ratio (NLR) and urine albumin-creatinine ratio (UACR) show promise as cost-effective and accessible biomarkers for the early detection of microvascular complications in T2DM. Their integration into routine care could enhance risk stratification, facilitate timely interventions, and improve patient outcomes, reducing the burden of diabetes-related morbidity. However, their clinical utility in diabetic populations remains underexplored.  Objective The study aims to evaluate the predictive value of NLR and UACR for microvascular complications, specifically DN and DR, in patients with T2DM. Methods This cross-sectional study included 130 patients diagnosed with T2DM undergoing routine investigations at the Department of General Medicine, Kempegowda Institute of Medical Sciences, Bengaluru. NLR and UACR, along with other secondary variables were measured, and their associations with DN and DR were analysed using various statistical tests to assess the viability of these biomarkers in predicting microvascular complications in clinical practice. Results UACR emerged as a strong predictor for both DR and DN. UACR achieved an accuracy of 91% for DR (area under the curve (AUC) 0.97) and 81.5% for DN (AUC 0.90). NLR showed 85% accuracy for DR (AUC 0.87) and 75% accuracy for DN (AUC 0.851). However, NLR was not a significant predictor in multivariate analyses, suggesting that other variables may affect its predictive ability. Logistic regression analyses identified UACR, duration of diabetes, and glycosylated haemoglobin (HbA1C) as significant predictors of microvascular complications. The models had adjusted R² values of 0.751 for DN and 0.881 for DR. Conclusion The study highlights the predictive value of NLR and UACR in detecting microvascular complications, particularly DN and DR, in patients with T2DM. UACR demonstrated superior utility compared to NLR, underscoring its clinical relevance in early screening for complications. Additionally, glycaemic control and diabetes duration were significant predictors, emphasising the importance of comprehensive monitoring in preventing diabetic complications. Further research is warranted to explore the role of NLR in larger, more diverse populations.

To explore the relationship between Red cell distribution width/albumin ratio (RAR) and vascular complications, including atherosclerosis of the lower limbs, diabetic nephropathy(DN), and diabetic retinopathy(DR), in patients with type 2 diabetes mellitus(T2DM).

The study included 427 patients with type 2 diabetes mellitus who were hospitalized in the Department of Endocrinology of the First Affiliated Hospital of Jinan University (Guangzhou, China) between April 1, 2022 and May 31, 2023. Baseline characteristics were displayed according to the quartiles of the RAR. Logistic regression analysis and receiver operating characteristic curves (ROC) were used to analyze the data.

After adjusting for confounders, a higher RAR quartile(the fourth quartile) was associated with an increased risk of atherosclerosis of the lower limbs(OR: 2.973, 95% CI 1.281-6.906, p = 0.011), and diabetic nephropathy(OR: 2.876, 95% CI 1.315-6.287, p = 0.008) compared to the lowest RAR quartile. The patients were further divided into two groups according to urinary albumin to creatinine ratio (UACR≥30mg/g and UACR < 30mg/g) and Glomerular Filtration Rate (eGFR<60 mL·min⁻¹ (1.73 m²) ⁻¹ and eGFR≥60 mL·min⁻¹ (1.73 m²) ⁻¹). Similar results were observed. However, We found that RAR quartile did not significantly increase the likelihood of developing diabetic retinopathy(OR: 1.183, 95% CI 0.633-2.211, p = 0.598).

The RAR ratio is associated with an increased risk of atherosclerosis of the lower limbs and diabetic nephropathy in patients with T2DM. The RAR ratio may be an important clinical marker of vascular complications in T2DM.

This study explored the utility of NLR (neutrophil-to-lymphocyte ratio) as a marker to predict Lower Extremity Peripheral Artery Disease (PAD) in the Chinese population, as well as to assess its consistency and diagnostic value with digital subtraction angiography.

Patients were distributed into three groups according to the angiography in lower limb arterial: group L1, plaque with no stenosis; group L2, plaque with luminal stenosis and group L3, total vascular occlusion. Changes in the neutrophil-to-lymphocyte ratio were documented and compared among groups.

Compared to group L1, NLR was significantly increased in L2 (1.76 vs 2.35, p=0.037) and L3 (1.76 vs 3.60, p<0.001), with a gradual decrease in ABI (Ankle-Brachial Index, 1.11 vs 1.02 vs 0.94, p<0.001). Those older patients with higher prevalence of hypertension (p=0.002), obesity (p=0.032), or reduced high-density lipoprotein cholesterol (p=0.020) were more likely to develop PAD; higher glycosylated hemoglobin (p=0.045), low-density lipoprotein cholesterol (p=0.006), and systolic blood pressure (p<0.001) levels led to a greater tendency to suffer stenosis or even occlusion; the probability of severe stenosis (>70%) increased to 2.075 times for every 1 increase in NLR, while it was 46.8% for every 0.1 increase in ABI. The optimal NLR cut-off value to predict severe stenosis in PAD was 2.73. Receiver operating characteristic curve analysis of the inflammatory biomarkers and severe stenosis prediction displayed an area under the curve of 0.81.

NLR could serve as a new noninvasive and accurate marker in predicting PAD.

Chronic inflammation is implicated in the development of diabetic retinopathy (DR). The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been linked to cardiovascular and diabetic kidney diseases. However, the link between NLR and DR remains unclear. As such, this study investigated the association between NLR and DR in Chinese patients.

A total of 857 adults diagnosed with type 2 diabetes mellitus (T2DM) without DR at baseline between 2018 and 2021, from a single center in Ningbo, China, were included. Baseline clinical data, including age, sex, T2DM duration, hypertension, smoking, drinking, glycated hemoglobin level, lipid profile, renal function, and NLR, were recorded and analyzed. Cox proportional hazard regression analysis was used to assess the association between NLR and the risk for incident DR.

During a median follow-up of 3.0 years, 140 patients developed DR. The multivariable-adjusted hazard ratio (HR) for incident DR across ascending NLR quartiles (≤1.46 [reference], 1.47-1.90, 1.91-2.45 and > 2.45) were 1.000, 1.327 (95% confidence interval [CI] 0.754-2.334), 1.555 (95% CI 0.913-2.648) and 2.217 (95% CI 1.348-3.649), respectively. For each 1-standard deviation increase in NLR, the risk for DR increased by 29.2% (HR 1.292 [95% CI 1.112-1.501) after adjusting for confounding factors.

Results revealed that a higher NLR at baseline was associated with an increased risk for incident DR. NLR has the potential to be an inexpensive, reliable, and valuable clinical measure that merits further exploration in future studies.

Diabetic ketoacidosis (DKA) is the most serious metabolic complication of type 1 diabetes mellitus (T1DM). Insulin deficiency and inflammation play a role in the pathogenesis of DKA. The authors aimed to assess the systemic immune-inflammation index (SII) as a marker of severity among T1DM patients with DKA and without infection.

The authors included T1DM patients older than or equal to 12 years hospitalized because of DKA. The authors excluded patients with infection or any condition that can change SII parameters or cause metabolic acidosis. The authors compared SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) between severe and non-severe DKA groups. The authors also assessed the need for an ICU, length of stay, and 90-day readmission rate between the groups.

The study included 241 patients with a median age of 17 (14, 24) years, and 44.8% were males. More patients with severe DKA (45%) required ICU admission (P<0.001). Median SII increased with DKA severity, and the difference was significant (P=0.033). No significant difference was observed as regards median NLR or PLR (P=0.380 and 0.852, respectively). SII, but not NLR or PLR, had a significant negative correlation with PH (r=-0.197, P=0.002) and HCO3 level (r=-0.144, P=0.026). Also, being in the highest SII quartile was an independent risk factor for DKA severity (OR, 2.522; 95% CI, 1.063-6.08; P=0.037). The authors estimated an SII cut-off value of 2524.24 to predict DKA severity with high specificity.

Elevated SII is a risk factor for DKA severity in T1DM. It is better than NLR and PLR in prognosticating DKA patients. These findings highlight the role of inflammation in DKA. SII can help as a valuable and simple tool to assess DKA severity.

To investigate the association between the NLR and the risk of all-cause and cardiovascular mortality in US adults with diabetic kidney disease (DKD).

The data utilized for this analysis were sourced from ten National Health and Nutrition Examination Survey cycles (1999-2018) with mortality data (up to 31 December 2019) via linkage to the National Death Index. The optimum NLR threshold for predicting survival outcomes was determined through the maximally selected rank statistics. Restricted cubic spline (RCS), weighted Cox proportional hazard regression, stratified analyses, and time-dependent receiver-operating characteristic curve (ROC) were employed to delineate the prospective correlations of the NLR with both all-cause and cardiovascular mortality.

In this investigation, a cohort comprising 2581 patients diagnosed with DKD was examined, encompassing 624 individuals with a higher NLR (≥3.07) and 1957 subjects with a lower NLR (<3.07). Over a median follow-up of 79 months (interquartile range, 44-128 months), 1103 deaths occurred, including 397 from cardiovascular causes and 706 from non-cardiovascular causes. The RCS analysis elucidated the positive linear correlation (both nonlinear P > 0.05). In the multivariable analyses, each one-unit increase in the NLR value was correlated with a 51% increased risk of all-cause mortality (1.51(1.28, 1.77)) and a 71% increased risk of cardiovascular mortality (1.71(1.32, 2.21)). The results were largely consistent across stratified analyses encompassing variables such as age, sex, race/ethnicity, marital status, family income, education levels, BMI, drinking status, smoking status, hypertension, CVD, and anti-infective drugs (P for interaction >0.05 for all). Time-dependent ROC analyses underscored the NLR's credible predictive efficacy for both short-term and extended durations in forecasting both all-cause and cardiovascular mortality.

The findings emphasize the promising use of the NLR in stratifying and prognosticating the risk of mortality in DKD in clinical practice.

Type 2 diabetes mellitus (T2DM) is a leading risk factor for the development and progression of chronic kidney disease (CKD). However, an accurate and convenient marker for early detection and appropriate management of CKD in individuals with T2DM is limited. Recent studies have demonstrated a strong correlation between the neutrophil-to-lymphocyte ratio (NLR) and CKD. Nonetheless, the predictive value of NLR for renal damage in type 2 diabetic patients remains understudied.

To investigate the relationship between NLR and renal function in T2DM patients.

This study included 1040 adults aged 65 or older with T2DM from Shanghai's Community Health Service Center. The total number of neutrophils and lymphocytes was detected, and NLR levels were calculated. CKD was defined as an estimated glomerular filtration rate ≤ 60 mL/min/1.73 m². Participants were divided into four groups based on NLR levels. The clinical data and biochemical characteristics were compared among groups. A multivariate logistic regression model was used to analyze the association between NLR levels and CKD.

Significant differences were found in terms of sex, serum creatinine, blood urea nitrogen, total cholesterol, and low-density lipoprotein cholesterol among patients with T2DM in different NLR groups (P < 0.0007). T2DM patients in the highest NLR quartile had a higher prevalence of CKD (P for trend = 0.0011). Multivariate logistic regression analysis indicated that a high NLR was an independent risk factor for CKD in T2DM patients even after adjustment for important clinical and pathological parameters (P = 0.0001, odds ratio = 1.41, 95% confidence intervals: 1.18-1.68).

An elevated NLR in patients with T2DM is associated with higher prevalence of CKD, suggesting that it could be a marker for the detection and evaluation of diabetic kidney disease.

Diabetic kidney disease (DKD) is the principal culprit behind chronic kidney disease (CKD), ultimately developing end-stage renal disease (ESRD) and necessitating costly dialysis or kidney transplantation. The limited therapeutic efficiency among individuals with DKD is a result of our finite understanding of its pathogenesis. DKD is the result of complex interactions between various factors. Oxidative stress is a fundamental factor that can establish a link between hyperglycemia and the vascular complications frequently encountered in diabetes, particularly DKD. It is crucial to recognize the essential and integral role of oxidative stress in the development of diabetic vascular complications, particularly DKD. Hyperglycemia is the primary culprit that can trigger an upsurge in the production of reactive oxygen species (ROS), ultimately sparking oxidative stress. The main endogenous sources of ROS include mitochondrial ROS production, NADPH oxidases (Nox), uncoupled endothelial nitric oxide synthase (eNOS), xanthine oxidase (XO), cytochrome P450 (CYP450), and lipoxygenase. Under persistent high glucose levels, immune cells, the complement system, advanced glycation end products (AGEs), protein kinase C (PKC), polyol pathway, and the hexosamine pathway are activated. Consequently, the oxidant-antioxidant balance within the body is disrupted, which triggers a series of reactions in various downstream pathways, including phosphoinositide 3-kinase/protein kinase B (PI3K/Akt), transforming growth factor beta/p38-mitogen-activated protein kinase (TGF-β/p38-MAPK), nuclear factor kappa B (NF-κB), adenosine monophosphate-activated protein kinase (AMPK), and the Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling. The disease might persist even if strict glucose control is achieved, which can be attributed to epigenetic modifications. The treatment of DKD remains an unresolved issue. Therefore, reducing ROS is an intriguing therapeutic target. The clinical trials have shown that bardoxolone methyl, a nuclear factor erythroid 2-related factor 2 (Nrf2) activator, blood glucose-lowering drugs, such as sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists can effectively slow down the progression of DKD by reducing oxidative stress. Other antioxidants, including vitamins, lipoic acid, Nox inhibitors, epigenetic regulators, and complement inhibitors, present a promising therapeutic option for the treatment of DKD. In this review, we conduct a thorough assessment of both preclinical studies and current findings from clinical studies that focus on targeted interventions aimed at manipulating these pathways. We aim to provide a comprehensive overview of the current state of research in this area and identify key areas for future exploration.

The systemic immuno-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are widely used and have been shown to be predictive indicators of various diseases. Diabetic nephropathy (DN), retinopathy (DR), and peripheral neuropathy (DPN) are the most prominent and common microvascular complications, which have seriously negative impacts on patients, families, and society. Exploring the associations with these three indicators and diabetic microvascular complications are the main purpose.

There were 1058 individuals with type 2 diabetes mellitus (T2DM) in this retrospective cross-sectional study. SII, NLR, and PLR were calculated. The diseases were diagnosed by endocrinologists. Logistic regression and subgroup analysis were applied to evaluate the association between SII, NLP, and PLR and diabetic microvascular complications.

SII, NLR, and PLR were significantly associated with the risk of DN [odds ratios (ORs): 1.52, 1.71, and 1.60, respectively] and DR [ORs: 1.57, 1.79, and 1.55, respectively] by multivariate logistic regression. When NLR ≥2.66, the OR was significantly higher for the risk of DPN (OR: 1.985, 95% confidence interval: 1.29-3.05). Subgroup analysis showed no significant positive associations across different demographics and comorbidities, including sex, age, hypertension, HbA1c (glycated hemoglobin), and dyslipidemia.

This study found a positive relationship between NLR and DN, DR, and DPN. In contrast, SII and PLR were found to be only associated with DN and DR. Therefore, for the diagnosis of diabetic microvascular complications, SII, NLR and PLR are highly valuable.

Type 2 diabetes mellitus (T2DM) is caused by an interplay of various factors where chronic hyperglycemia and inflammation have central role in its onset and progression. Identifying patient groups with increased inflammation in order to provide more personalized approach has become crucial. We hypothesized that grouping patients into clusters according to their clinical characteristics could identify distinct unique profiles that were previously invisible to the clinical eye. A cross-sectional record-based study was performed at the Primary Health Care Center Podgorica, Montenegro, on 424 T2DM patients aged between 30 and 85. Using hierarchical clustering patients were grouped into four distinct clusters based on 12 clinical variables, including glycemic and other relevant metabolic indicators. Inflammation was assessed through neutrophil-to-lymphocyte (NLR) and platelet to lymphocyte ratio (PLR). Cluster 3 which featured the oldest patients with the longest T2DM duration, highest hypertension rate, poor glycemic control and significant GFR impairment had the highest levels of inflammatory markers. Cluster 4 which featured the youngest patients, with the best glycemic control, the highest GFR had the lowest prevalence of coronary disease, but not the lowest levels of inflammatory markers. Identifying these clusters offers physicians opportunity for more personalized T2DM management, potentially mitigating its associated complications.

The platelet-to-lymphocyte ratio (PLR), a promising inflammatory biomarker, contributes to the development of atherosclerosis and type 2 diabetes (T2D). Therefore, this study aimed to elucidate the importance of PLR in predicting adverse events in people undergoing percutaneous coronary intervention (PCI) with T2D.

We consecutively enrolled 8831 people who underwent PCI and divided them into four groups according to PLR and glycemic metabolic status (PLR-Low/High without T2D, PLR-Low/High with T2D). The endpoints were major adverse cardiovascular and cerebrovascular events (MACCE) and stent thrombosis. A multivariate Cox regression analysis was performed to determine this association.

During the 2.4-year follow-up, 663 (7.5%) MACCE and 75 (0.85%) stent thromboses were recorded. The risk of MACCE (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.10-1.53, P = 0.002) and stent thrombosis (HR: 2.32, 95% CI: 1.38-3.90, P = 0.002) was significantly higher in people with high PLR levels than in those with low PLR. Among people with T2D, the PLR-High group showed a significantly higher risk of MACCE (HR: 1.59, 95% CI: 1.21-2.09, P = 0.001) and stent thrombosis (HR: 3.15, 95% CI: 1.32-7.52, P = 0.010). However, these associations were not significant in people without T2D.

PLR has been originally documented as a significant predictor of poor prognosis and a high incidence of stent thrombosis in people undergoing PCI, especially in those with T2D.

Type 2 diabetic kidney disease (T2DKD) is a common microvascular complication of type 2 diabetes mellitus (T2DM), and its incidence is significantly increasing. Microinflammation plays an important role in the development of T2DKD. Based on this, this study investigated the value of inflammatory markers including neutrophil-lymphocyte ratio (NLR), high-sensitivity C-reactive protein (hs-CRP), monocyte chemoattractant protein-1 (MCP-1) in the prediction of T2DKD. This was a cross-sectional survey study. A total of 90 patients with T2DM, who were hospitalized in the nephrology and endocrinology departments of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from June 2021 to January 2022, were included and divided into three groups (A1, A2, A3) according to the urinary albumin-to-creatinine ratio (UACR). Observe and compare the basic information, clinical and laboratory data, and the inflammatory markers NLR, hs-CRP, MCP-1. Results revealed that high levels of NLR (OR = 6.562, 95% CI 2.060-20.902, P = 0.001) and MCP-1 (OR = 1.060, 95% CI 1.026-1.095, P < 0.001) were risk factors in the development of T2DKD. Receiver operating characteristic curve analysis showed that the area under curve of NLR and MCP-1 in diagnosing T2DKD were 0.760 (95% CI 0.6577-0.863, P < 0.001) and 0.862 (95% CI 0.7787-0.937, P < 0.001). Therefore, the inflammatory markers NLR and MCP-1 are risk factors affecting the development of T2DKD, which of clinical value may be used as novel markers of T2DKD.

Our goal was to evaluate the neutrophil:lymphocyte (NLR) and platelet:lymphocyte (PLR) ratios measured before transplantation and their correlation with new-onset diabetes after transplantation (NODAT) in renal transplant recipients.

We conducted our study in 324 adult patients consecutively admitted to Military Hospital 103, Ha Noi, Viet Nam, who received kidney allografts from living donors. These patients were followed-up during the first 2 years post-transplantation for NODAT. We examined the association between NLR and PLR measured prior to transplantation in patients with NODAT: NLR and PLR were calculated based on the results of the complete blood count. The criteria for diagnosis of a fully symptomatic NODAT case were based on the guidelines established by the American Diabetes Association and included fasting venous blood glucose and glycosylated hemoglobin A1c (HbA1c) levels, with or without an oral glucose tolerance test.

The overall rate of NODAT during the two years after kidney transplantation was 13.6%. We found mean values of age and body mass index (BMI), and median values of NLR, PLR, high sensitivity C-reactive protein (hs-CRP) levels, and the arteriosclerosis ratio in the NODAT group to be significantly higher than those of the non-NODAT group (all p < 0.05). Furthermore, an adjusted multivariate regression analysis showed that age (area under the curve [AUC] = 0.727, p < 0.001), BMI (AUC = 0.846, p < 0.001), serum hs-CRP levels (AUC = 0.884, p < 0.001), NLR (AUC = 0.888; p < 0.001), and PLR (AUC = 0.818; p < 0.001) had predictive value for NODAT.

NLR and PLR measured before transplantation were good predictors for NODAT in the first 2 years post-renal transplantation.

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.

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.

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.

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.

Diabetes is a chronic metabolic syndrome that is a global public health problem. Studies have used hematological parameters and hemogram-derived markers as predictors of poor glycemic and microvascular complications status in diabetics. However, the tendency to use these parameters is not fully evaluated in our context, and the evidence is inadequate. This study aimed to assess the hematological profiles and prognostic role of hemogram-derived novel markers in diabetes mellitus and its complications among DM patients at Bishoftu General Hospital, Ethiopia.

A comparative cross-sectional study was conducted among 261 participants from June 15 to August 12, 2022. A systematic random sampling technique was used to select participants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Hematological parameters and fasting blood glucose levels were determined from blood using Sysmex-XN550 and Cobas C311 analyzers, respectively. Blood smear was used to check Hematology analyzer output, and to screen participants for malaria parasites. Collected data were entered into Epi-data 3.1 and exported to SPSS-25. Data were analyzed by Chi-square, Mann-Whitney U-test, Kruskal-Wallis test, Post hoc test, and ROC curve. A P-value <0.05 was considered statistically significant.

Total WBC, neutrophils, Monocyte, NLR, MLR, MPVLR, and PLR were significantly higher in poor glycemic and complicated T2DM; meanwhile, measured RBC parameters, RBC indices values were significantly lower in poor glycemic and complicated T2DM. The NLR, MLR, MPVLR, PLR, and NLR, MLR, MPVLR, RPR values were identified as predictors of poor glycemic and complication status in diabetic patients, respectively.

Significant increment of some hematological parameters and hemogram-derived markers, and their role in predicting poor glycemic and microvascular complications were identified in diabetic patients. Routine screening of hematological parameters and use of hemogram-derived markers for monitoring of altered health status in DM is very important in the improvement of patient quality of life.

Introduction Diabetic nephropathy associated with end-stage renal disease (ESRD) is a significant public health problem due to its high morbidity and mortality. We aimed to improve the estimation of proteinuria in diabetic patients and potentially enhance risk stratification and clinical management strategies with the assessment of the correlation of the neutrophil/lymphocyte ratio (NLR), low-density lipoprotein/albumin ratio (LAR), and red cell distribution width/albumin ratio (RAR) with the proteinuria in the uncontrolled diabetes patient population. Methods This was a retrospective study including 327 patients with uncontrolled diabetes (HbA1c > 10%) seen in an outpatient clinic. The study enrolled patients over 18 years old, excluding those with active infections, malignancies, immunodeficiency, hematological diseases, pregnancy, breastfeeding, or type I diabetes. Patients using specific drugs affecting proteinuria or lipid levels were also excluded. Data from patients were retrospectively obtained, including gender, age, blood parameters, glucose, creatinine, albumin, cholesterol, triglyceride, and HbA1c levels, as well as spot urine protein and creatinine levels. Proteinuria was assessed using a spot urine protein/creatinine ratio (>0.30 indicated proteinuria). Patients were divided into two groups: group 1 (non-proteinuric with uncontrolled diabetes) and group 2 (proteinuric with uncontrolled diabetes). Demographics, laboratory results, and LAR, NLR, and RAR values were compared between the groups with univariate and multivariate analyses. All statistical analyses were performed using IBM SPSS Statistics for Windows software. For the statistical significance level, p<0.05 was accepted as meaningful. Results Among 327 patients with uncontrolled diabetes, 33.03% were proteinuric. Patients with proteinuria were significantly older (median age 65 vs. 61 years) and had higher NLR and RAR values. There were no significant differences observed in terms of LAR values between groups. Serum albumin levels were lower and urea levels were higher in the proteinuric group. A multivariate analysis was done to identify variables for the prediction of proteinuria. NLR and RAR were found to be independent predictors of proteinuria even after adjusting for potential confounders in the multivariate analysis. The model achieved a 71.9% correct classification rate. An NLR cutoff of 1.93 increased the likelihood of proteinuria 1.93-fold, while a RAR cutoff of 3.30 increased the likelihood 1.63-fold. Conclusions We found that the LAR ratio cannot be used to predict proteinuria in patients with HbA1C levels above 10, but the NLR and RAR ratios can guide the clinician regarding proteinuria and potentially enhance risk stratification and clinical management strategies before a detailed workup.

Diabetes mellitus is a leading cause of mortality worldwide associated with hyperglycemia-induced hematological aberrations and thromboembolic complications. This study aimed to explore the modulatory effect of Terminalia catappa leaf aqueous crude extract (TCLE) on hematological and coagulation disturbances in a Type 2 diabetic rat model.

High-fat diet streptozotocin-induced diabetic rats were treated orally with 400 and 800 mg/kg body weight TCLE daily for 28 days. Full blood count, coagulation parameters, plasma calcium (Ca), and erythrocyte glycogen (GLYC) levels were assessed using standard procedures.

Terminalia catappa leaf aqueous crude extract treatment had a significant (p < 0.05) prolonging effect on clotting and bleeding times while increasing Ca, GLYC and mean corpuscular volume in diabetic rats. On the other hand, lymphocytes (LYM), platelet (PLT) count, mean PLT volume, neutrophil-LYM ratio (NLR), and PLT-LYM ratio (PLR) of TCLE-treated diabetic animals were significantly reduced (p < 0.05) compared with untreated diabetic animals. Lymphocyte, PLT count, NLR, and PLR correlated positively (p < 0.05) with plasma glucose, while a significant positive association was observed between Ca and GLYC. On the other hand, a strong negative association (p < 0.05) was observed between clotting time and fasting plasma glucose.

These findings suggest that T. catappa leaf extract may be useful in reversing diabetic-mediated hematological anomalies due to its anticoagulant and anti-anemic activities.

Type 2 diabetes mellitus (DM) with nephropathy is a common complication in poorly controlled diabetes. Uncontrolled DM leads to intraglomerular vascular changes that cause physical injury to capillary walls, causing a profibrotic response in kidneys. The present study aimed to determine the association of hematological markers with microalbuminuria in early diabetic nephropathy.

A single-center, cross-sectional study was conducted over the period of two years at the Department of Medicine of Pradyumna Bal Memorial Hospital, Kalinga Institute of Medical Sciences. A total of 90 patients diagnosed with type 2 DM were classified into two groups (group A and group B) according to microalbuminuria; there were 45 patients in each group. Levels of hematological markers, i.e., neutrophil-to-lymphocyte ratio (NLR) and red cell distribution width (RDW), between the study groups were examined and compared.

A significant difference in NLR was found between groups A and B (p = 0.001). A statistically significant difference in RDW was found between the groups (p = 0.015). Receiver operating characteristic curve analysis of inflammatory markers and microalbuminuria prediction showed an area under the curve of 0.814 for NLR and 0.656 for RDW.

Hematological parameters like NLR and RDW are elevated in early diabetic nephropathy patients. NLR is found to be a better marker than RDW in predicting early nephropathy.

Diabetic nephropathy/diabetic kidney disease (DKD) is one of the leading causes of renal failure. Early identification of the development or progression of diabetic nephropathy using appropriate screening and diagnostic tools is very important in order to provide timely and proper management. Inflammation plays a crucial role in development and progression of diabetic nephropathy. The aim of this study was to evaluate the relationship of inflammatory markers (neutrophil-to-lymphocyte ratio-NLR) as an early indicator to prevent the progression of diabetic kidney disease. A total of 158 patients with type 2 diabetes mellitus were distributed into three groups according urinary albumin-to-creatinine ratio. Levels of inflammatory markers neutrophil-to-lymphocyte ratio was recorded and compared among the three groups. Significant differences were detected between the groups in terms of neutrophil-to-lymphocyte ratio (p = 0.000).Characteristic curve analysis of inflammatory markers and microalbuminuria prediction demonstrated an area under curve (AUC) of 0.869 for neutrophil-to-lymphocyte ratio (p = 0.000). A NLR cut-off point of 2.2 has 72.3 % sensitivity and 78.1 % specificity, which suggested sufficient accuracy. Increased neutrophil-to-lymphocyte ratio was significantly correlated with diabetic nephropathy progression and increased neutrophil-to-lymphocyte ratio can be considered as an early indicator and a prognostic risk marker of diabetic nephropathy.

Diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease (ESRD), and the prevalence of DKD has increased worldwide during recent years. DKD is associated with poor therapeutic outcomes in most patients, but there is limited understanding of its pathogenesis. This review suggests that oxidative stress interacts with many other factors in causing DKD. Highly active mitochondria and NAD(P)H oxidase are major sources of oxidants, and they significantly affect the risk for DKD. Oxidative stress and inflammation may be considered reciprocal causes of DKD, in that each is a cause and an effect of DKD. Reactive oxygen species (ROS) can act as second messengers in various signaling pathways and as regulators of metabolism, activation, proliferation, differentiation, and apoptosis of immune cells. Epigenetic modifications, such as DNA methylation, histone modifications, and non-coding RNAs can modulate oxidative stress. The development of new technologies and identification of new epigenetic mechanisms may provide novel opportunities for the diagnosis and treatment of DKD. Clinical trials demonstrated that novel therapies which reduce oxidative stress can slow the progression of DKD. These therapies include the NRF2 activator bardoxolone methyl, new blood glucose-lowering drugs such as sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists. Future studies should focus on improving early diagnosis and the development of more effective combination treatments for this multifactorial disease.

We explored the predictive utility of baseline neutrophil/lymphocyte ratio (NLR), which reflects a systemic inflammatory tone, in kidney impairment in type 2 diabetes mellitus (T2DM); and investigated the effect of extracellular water/total body water (ECW/TBW) ratio on the relationship.

This longitudinal study included 1,224 T2DM adults recruited from a single centre. Cox regression analyses examined the association between NLR and progressive kidney function decline or albuminuria progression. Improvements in risk discrimination were assessed using Harrell's concordance-statistics. The mediatory role of ECW/TBW ratio estimated by bioelectrical impedance was evaluated.

Higher baseline NLR levels were observed in cases with kidney function decline or albuminuria progression over a median 2-year follow-up. NLR independently predicted progressive kidney function decline (hazard ratio:1.39, 95% CI:1.21-1.60, P < 0.001) or albuminuria progression (hazard ratio:1.34, 95% CI:1.08-1.68, P = 0.009). Addition of NLR to a base model comprising demographics, T2DM duration, metabolic and renal parameters, and medications significantly improved the risk discrimination of kidney function decline (P = 0.022) but not albuminuria progression. ECW/TBW ratio accounted for 19.7% of the total effect between NLR and kidney function loss.

Increased NLR reflecting systemic inflammation is associated with progressive kidney function decline in T2DM, partially explained by dysregulated body fluid balance.

There is a high prevalence of diabetes mellitus (DM) in patients with pancreatic ductal adenocarcinoma (PDAC). An inflammatory response is considered as a potential mechanism involved in the process. The systemic immune-inflammation (SII) index is an integrated and novel inflammatory indicator developed in recent years. The purpose of this study was to determine the relationship between the SII and DM secondary to PDAC.

Patients with a confirmed diagnosis of PDAC were analyzed in this cross-sectional study. Anthropometric measures, glucose-related data (including fasting glucose, 2 h OGTT, glycated hemoglobin, fasting insulin, and fasting c-peptide), tumor characteristics (tumor volumes, location and stages), and the periphery blood inflammatory index (white blood cell count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and SII) were recorded. The inflammation index was analyzed for its association with glucose-related parameters. Multivariable logistic regression analysis was used to analyze the association between SII levels and DM secondary to PDAC.

Blood cell results showed that the white blood cell count, neutrophils, lymphocytes, monocytes, platelets, the neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio were higher in patients with diabetes. It was worth noting that SII significantly increased in patients with diabetes secondary to PDAC (4.41 vs. 3.19, p < 0.0001). Multivariable logistic regression analysis showed that SII (OR: 2.024, 95%CI: 1.297, 3.157, p = 0.002) and age (OR: 1.043, 95%CI: 1.01, 1.077, p = 0.011) were the risk factors for DM secondary to PDAC after adjusting for covariates. According to Spearmen correlation analysis, SII was positively correlated with fasting glucose (r = 0.345, p < 0.0001), 2 h OGTT (r = 0.383, p < 0.0001), HbA1c (r = 0.211, p = 0.005), fasting insulin (r = 0.435, p < 0.0001), fasting C-peptide (r = 0.420, p < 0.0001), and HOMA2-IR (r = 0.491, p < 0.0001).

In conclusion, SII is significantly increased among patients with DM secondary to PDAC and is associated with the DM in patients with PDAC (OR: 2.382, 95% CI: 1.157, 4.903, p = 0.019). Additionally, SII is significantly correlated with insulin resistance. We are the first to investigate the relationship between SII and diabetes secondary to PDAC and further confirm the role of an inflammatory response in this process. More studies need to be designed to clarify how inflammatory responses participate.

Growing evidences highlight the role of the innate immune response in the pathogenesis of type 1 diabetes (T1D) vascular complications. Neutrophil lymphocytic ratio (NLR) and platelet lymphocytic ratio (PLR) are inexpensive but novel markers of chronic inflammation might have prognostic value in children with T1D.

To study NLR and PLR levels in children with T1D in comparison to matched controls and correlate them with fraction-C of glycosylated hemoglobin (HbA1C) and micro-vascular complications.

Hundred children with T1D were compared to 100 matched healthy controls. History included diabetes duration, insulin dose and frequency of hypoglycemic attacks. Fundus examination and the simple rapid neuropathy disability score were done. HbA1C, fasting lipids, urinary albumin excretion and complete blood count were measured with assessment of NLR and PLR.

NLR was significantly higher (p = 0.008) and PLR was significantly lower (p = 0.007) in children with T1D than controls. NLR was positively correlated while PLR was negatively correlated with HbA1C, diabetes duration, fasting cholesterol, triglycerides and LDL. NLR was significantly higher (p < 0.001) and PLR was significantly lower (p = 0.005) in children with microvascular complications than those without. Moreover, multivariate logistic regression revealed that microvascular complications were independently associated with NLR (p = 0.013) and PLR (p = 0.004).

Children with T1D had significantly higher NLR and lower PLR compared to controls. These changes were more evident in those with diabetic microvascular complications than those without. Furthermore, NLR was positively correlated and PLR was negatively correlated to HbA1C, diabetes duration and hyperlipidemia. Hence, NLR and PLR can be a potential indicator for the risk of development of diabetic microvascular complications in children with T1D.

As a severe and specific neurovascular complication of type 2 diabetes mellitus (T2DM), diabetic retinopathy (DR) remains the leading cause of vision loss and preventable blindness in adults aged 20 to 74. The pathogenesis of DR is not completely understood, however, studies indicate that chronic inflammation plays a significant role. Emerging evidence suggests that the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the monocyte-to-lymphocyte ratio (MLR) are novel potential inflammatory response markers. The purpose of this study was to investigate the relationships between the NLR, PLR, MLR, and DR.

290 patients who had been diagnosed with T2DM participated in the study. Patients were categorized into three groups: 142 control subjects with T2DM, 124 subjects with nonproliferative diabetic retinopathy (NPDR), and 24 patients with proliferative diabetic retinopathy (PDR). Characteristics, laboratory data, as well as NLR, PLR and MLR levels of the study groups were compared.

In patients with DR, the median NLR, PLR, and MLR were significantly higher than in patients without DR (p = 0.012, p < 0.001, and p = 0.043, respectively). In the post hoc analysis, there was no correlation between the severity of retinopathy and the increase in NLR or PLR. Multiple logistic regression revealed that the PLR was an independent risk factor for DR (odds ratio [OR]: 1.020, 95% confidence interval [CI]: 1.010-1.029 p = 0.026). Based on the receiver operating characteristic (ROC) curve, the cutoff value of PLR as an indicator for diagnosing DR was estimated to be 129.65, with a sensitivity and specificity of 53.4% and 76.1%, respectively, and an area under the curve of 0.668 (95% CI: 0.605-0.730, p < 0.001).

Our findings suggest that PLR may be an independent risk factor for evaluating DR in type 2 diabetes patients.

Accumulating evidence suggests a dysfunction of the para-inflammation in the retinal ganglion cell layer and the optic nerve head in patients with glaucoma. Currently, circulating blood platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) are regarded as novel indicators of systemic inflammation. Biomarkers allow early identification of patients with visual field (VF) loss progression and timely implementation of replacement therapies.

This study aimed to investigate whether higher inflammatory indices (PLR, NLR, and LMR) were associated with VF loss progression in patients with primary angle-closure glaucoma (PACG) for the predictive diagnostics, targeted prevention, and personalization of medical services.

This prospective cohort study followed up 277 patients with PACG for at least 24 months, with clinical examination and VF testing every 6 months. Inflammatory cell quantification, including platelets, neutrophils, lymphocytes, and monocytes, was measured using the Sysmex XN-A1 automated inflammatory cells quantification system. Three systemic inflammatory indices, PLR, NLR, and LMR, were determined on the basis of baseline neutrophil, lymphocyte, monocyte, and platelet counts in patients with PACG. The risk factors for PACG were analyzed using logistic regression, Cox proportional hazards regression, and the Kaplan-Meier curve.

Our results revealed that 111 (40.07%) patients showed VF loss progression. The PLR was significantly higher (P = 0.046) in the progression group than in the non-progression group. A higher PLR (OR 1.05, 95% CI 1.01-1.08, P = 0.004) was a risk factor for PACG progression. In multivariate analyses, PLR independently predicted VF loss progression (HR 1.01, 95% CI 1.00-1.01, P = 0.04). Kaplan-Meier curve analysis showed that higher PLR indicated significantly higher rates of VF loss progression (66.91% vs. 52.90%, P = 0.03). Comparable results were observed in the male and female subgroups.

Our findings revealed the significant association between a high PLR and a greater risk of VF loss progression in patients with PACG. PLR may be highly recommended as a novel predictive/diagnostic tool for the assessment of VF loss progression from the perspectives of predictive, preventive, and personalized medicine in vulnerable populations and for individual screening.

The online version contains supplementary material available at 10.1007/s13167-021-00260-3.