Evaluation of Monocyte to High-Density Lipoprotein Cholesterol Ratio in the Presence and Severity of Metabolic Syndrome

Monocyte to High-density Lipoprotein Cholesterol Ratio as a Predictor of Nonalcoholic Fatty Liver Disease in Childhood Obesity

OBJECTIVE

Inflammation is involved in the development and progression of nonalcoholic fatty liver disease (NAFLD). The monocyte to high-density lipoprotein cholesterol ratio (MHR) has emerged as a marker for various inflammation-related diseases. The aim of the present study was to investigate the association between the MHR and NAFLD in a population with childhood obesity.

METHODS

Based on hepatic ultrasound, a total of 504 children with obesity (357 with NAFLD and 147 without NAFLD) were included in the study. The correlation between the MHR and NAFLD risk factors was assessed by Pearson's and Spearman's analyses. Multivariate stepwise logistic regression analyses were conducted to explore the association between the MHR and the risk of NAFLD.

RESULTS

The MHR in patients with NAFLD was significantly greater than that in patients without NAFLD [0.52 (0.44-0.67) versus 0.44 (0.34-0.57), P<0.001]. Multivariate stepwise logistic regression analysis demonstrated that the MHR [odds ratio (OR): 1.033, 95% confidence interval (CI): 1.015-1.051; P<0.001] was an independent predictor of NAFLD in childhood obesity patients, as were age (OR: 1.205, 95% CI: 1.059-1.371; P=0.005], waist circumference [OR: 1.037, 95% CI: 1.008-1.067; P=0.012], and alanine transaminase [OR: 1.067, 95% CI: 1.045-1.089; P<0.001]. Additionally, MHR quartiles showed a significant positive association with the incidence of NAFLD after adjusting for potential confounding factors.

CONCLUSION

The present study showed that the MHR may serve as an available and useful indicator of NAFLD in individuals with childhood obesity.

Association of Red Blood Cell and Platelet Parameters with Metabolic Syndrome: A Systematic Review and Meta-Analysis of 170,000 Patients

This systematic review and meta-analysis aim to establish associations between metabolic syndrome (MetS) and erythrocyte and platelet markers, contributing to improved diagnostic tests for identifying individuals at risk. Observational studies and Randomized Controlled Trials (RCTs) were included. The standardized mean difference (SMD) and 95% confidence intervals (CI) of erythrocyte and platelet markers between individuals with and without MetS were used as effect size (inverse variance model). Methodological quality assessment was conducted using the Newcastle-Ottawa scale (NOS) for observational studies and the Cochrane Risk of Bias tool 2.0 for RCTs. The analysis included 51 articles. Compared to controls, individuals with MetS exhibited significantly higher concentrations of mean red blood cell count [Standardized Mean Difference (95% CI): 0.15 (0.13-0.18); p<0.00001], hemoglobin [0.24 (0.18-0.31); p<0.00001], blood platelet count [5.49 (2.78-8.20); p<0.0001], and red blood cell distribution width [(0.55 (0.05-1.04); p=0.03]. Regarding mean platelet volume [0.16 (- 0.03 to 0.35); p=0.10] and platelet-to-lymphocyte ratio (PLR) [7.48 (-2.85-17.81); p=0.16], a non-significant difference was observed in patients with MetS. There was no statistically significant difference in hematocrit counts between the two groups [0.47 (-0.40 to -1.34); p=0.29]. Biomarkers such as mean red blood cell count, hemoglobin, blood platelet count, and RDW are associated with higher levels in patients in MetS, whereas mean platelet volume and PLR tend to be lower. These markers can potentially provide new avenues for early diagnosis of MetS.

Complete Blood Count-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Children and Adolescents with Severe Obesity

Background: Childhood obesity is a globally increasing pathological condition leading to long-term health issues such as cardiovascular diseases and metabolic syndrome (MetS). This study aimed to determine the clinical value of the Complete Blood Count-derived inflammation indexes Monocyte/HDL-C ratio (MHR), Lymphocyte/HDL-C ratio (LHR), Neutrophil/HDL-C ratio (NHR), and System Inflammation Response Index (SIRI) to predict the presence of metabolic syndrome and its association with cardiovascular risk markers (HOMA-IR, TG/HDL-C, and non-HDL-C) in children and adolescents with obesity. Methods: The study included a total of 552 children/adolescents with severe obesity (BMI: 36.4 [32.7-40.7] kg/m2; 219 males, 333 females; age: 14.8 [12.9-16.3] years), who were further subdivided based on the presence or absence of metabolic syndrome (MetS+ and MetS respectively). Results: The MHR, LHR, and NHR indexes (p < 0.0001), but not SIRI (p = 0.524), were significantly higher in the MetS+ compared to the MetS- subgroup, showing a positive correlation with the degree of MetS severity (p < 0.0001). Furthermore, MHR, LHR, and NHR were positively associated with cardiometabolic risk biomarkers (HOMA-IR: MHR p = 0.000, LHR p = 0.001, NHR p < 0.0001; TG/HDL-C: MHR, LHR, NHR p < 0.000; non-HDL-C: MHR, LHR p < 0.0001, NHR p = 0.000). Finally, the ROC curve analysis demonstrated that among the analyzed indexes, only MHR, LHR, and NHR had diagnostic value in distinguishing MetS patients among children and adolescents with obesity (MHR: AUC = 0.7045; LHR: AUC = 0.7205; NHR: AUC = 0.6934; p < 0.0001). Conclusions: In conclusion, the MHR, LHR, and NHR indexes, but not the SIRI index, can be considered useful tools for pediatricians to assess the risk of MetS and cardiometabolic diseases in children and adolescents with obesity and to develop multidisciplinary intervention strategies to counteract the widespread disease.

Association of white blood cell parameters with metabolic syndrome: A systematic review and meta-analysis of 168,000 patients

BACKGROUND

Leukocyte parameters are predicted to be affected in patients with metabolic syndrome (MetS). We conducted a systematic review and meta-analysis to study the association between white blood cell parameters (WBC) in people with and without MetS.

METHODS

PubMed, EMBASE, Scopus and Cochrane Library databases were searched according to the study protocol. The standardized mean difference (SMD) and 95% confidence intervals (CI) of leukocyte markers between individuals with and without MetS were pooled using an inverse variance model. Additionally, a subgroup analysis by sex was performed where possible. Methodological quality assessment was conducted using the Newcastle-Ottawa scale (NOS) for observational studies and the Cochrane Risk of Bias tool 2.0 for Randomized Controlled Trials (RCTs).

RESULTS

Of 6068 articles identified, 63 were eligible for the study. Compared to controls, individuals with MetS showed significantly higher concentrations of total leukocyte count (SMD [95% CI]: 0.60 [0.55-0.65]; P < .00001; I2 = 100%), neutrophil counts (0.32 [0.28-0.37]; P < .00001; I2 = 99%), lymphocyte counts (0.15 [0.07-0.23]; P = .0004; I2 = 100%), basophil counts (0.01 [0.00-0.02]; P = .02; I2 = 98%), monocyte counts (0.05 [0.02-0.09]; P = .003; I2 = 99%), and neutrophil-to-lymphocyte ratio (0.24 [0.15-0.33]; P < .00001; I2 = 98%). There were no significant differences in the eosinophil count (0.02 [-0.01 to 0.05]; P = .19; I2 = 96%) and monocyte-to-lymphocyte ratio (0.06 [-0.05 to 0.17]; P = .27; I2 = 100%) between patients with and without MetS, however, the lymphocyte-to-monocyte ratio (0.52 [-0.81 to -0.23]; P = .0005; I2 = 52%) tended to be significantly lower in patients with MetS.

CONCLUSION

Biomarkers such as total leukocyte count, neutrophil count, lymphocyte count, basophil count, monocyte count and neutrophil-to-lymphocyte ratio are associated with higher levels in patients in MetS and thus can potentially be used for early detection of MetS.

Complete Blood Count (CBC)-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Adults with Severe Obesity

Background: Metabolic syndrome (MetS) is a globally increasing pathological condition. Recent research highlighted the utility of complete blood count-derived (CBC) inflammation indexes to predict MetS in adults with obesity. Methods: This study examined CBC-derived inflammation indexes (NHR, LHR, MHR, PHR, SIRI, AISI, and SII) in 231 adults with severe obesity (88 males, 143 females; age: 52.3 [36.4-63.3] years), divided based on the presence (MetS+) or absence (MetS-) of MetS. The relationships between the indexes and the cardiometabolic risk biomarkers HOMA-IR, TG/HDL-C, and non-HDL-C were also evaluated. Results: Individuals with metabolic syndrome (MetS+) had significantly higher values of MHR, LHR, NHR, PHR, and SIRI than those without (MetS-) (MHR and NHR: p < 0.0001; LHR: p = 0.001; PHR: p = 0.011; SIRI: p = 0.021). These values were positively correlated with the degree of MetS severity. Logistic regression (MHR and NHR: p = 0.000; LHR: p = 0.002; PHR: p = 0.022; SIRI: p = 0.040) and ROC analysis (MHR: AUC = 0.6604; LHR: AUC = 0.6343; NHR: AUC = 0.6741; PHR: AUC = 0.6054; SIRI: AUC = 0.5955) confirmed the predictive potential of CBC-derived inflammation indexes for MetS in individuals with severe obesity. CBC-derived inflammation indexes also correlated with HOMA-IR (MHR, LHR, and NHR: p < 0.0001; PHR: p < 0.001; SIRI: p = 0.000) and TG/HDL-C (MHR, LHR, NHR and PHR: p < 0.0001; SIRI: p = 0.006). Conclusions: In conclusion, this study validates CBC-derived inflammation indexes for predicting MetS in individuals with severe obesity. The relationships between these indexes and cardiometabolic risk factors can enable clinicians to better grade MetS associated with obesity.

Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study

Metabolic syndrome (MetS) is a complex disease involving multiple physiological, biochemical, and metabolic abnormalities. The search for reliable biomarkers may help to better elucidate its pathogenesis and develop new preventive and therapeutic strategies. In the present population-based study, we looked for biomarkers of MetS among obesity- and inflammation-related circulating factors and body composition parameters in 1079 individuals (with age range between 18 and 80) belonging to an ethnically homogeneous population. Plasma levels of soluble markers were measured by using ELISA. Body composition parameters were assessed using bioimpedance analysis (BIA). Statistical analysis, including mixed-effects regression, with MetS as a dependent variable, revealed that the most significant independent variables were mainly adipose tissue-related phenotypes, including fat mass/weight (FM/WT) [OR (95% CI)], 2.77 (2.01-3.81); leptin/adiponectin ratio (L/A ratio), 1.50 (1.23-1.83); growth and differentiation factor 15 (GDF-15) levels, 1.32 (1.08-1.62); inflammatory markers, specifically monocyte to high-density lipoprotein cholesterol ratio (MHR), 2.53 (2.00-3.15), and a few others. Additive Bayesian network modeling suggests that age, sex, MHR, and FM/WT are directly associated with MetS and probably affect its manifestation. Additionally, MetS may be causing the GDF-15 and L/A ratio. Our novel findings suggest the existence of complex, age-related, and possibly hierarchical relationships between MetS and factors associated with obesity.

Association between Metabolic Syndrome and Leukocytes: Systematic Review and Meta-Analysis

Background: Metabolic syndrome (MetS) is a group of metabolic abnormalities characterised by central obesity, hypertension, dyslipidaemia, and dysregulation of blood glucose, which is associated with the risk of diabetes, cardiovascular disease, and overall mortality. White blood cell count is a selective marker of acute infection and inflammation, which could provide information on the metabolic status of subjects. This study aims to provide the best evidence on the association between MetS and white blood cell count by determining the effect size of this biomarker. Methods: A systematic review and meta-analysis of studies indexed in the PubMed and Scopus databases were performed. Methodological quality was assessed using the STROBE tool, overall risk of bias using RevMan (Cochrane Collaboration), and quality of evidence using Grade Pro. Results: We included 14 articles comparing leukocyte concentrations in 21,005 subjects with MetS and 66,339 controls. Subjects with MetS had a higher mean leukocyte count, 0.64 cells ×109/L; CI95% 0.55-0.72; p < 0.00001; I2 = 93%. Conclusions: An in-depth evaluation of the relationship of leukocytes in the pathophysiological process of MetS could lead to new insights into early diagnosis.

High-Density Lipoprotein and Heart Failure

The protective effect of high-density lipoprotein (HDL) on atherosclerosis is well known, and its mechanisms of action has been extensively studied. However, the impact of HDL on heart failure and its mechanisms are still controversial or unknown. The cardioprotective role of HDL may be reflected in its antioxidant, anti-inflammatory, anti-apoptotic, and endothelial function protection. In epidemiological studies, high-density lipoprotein cholesterol (HDL-C) levels have been negatively associated with heart failure (HF). The major protein component of HDL-C is apolipoprotein (Apo) A-I, while paraoxonase-1 (PON-1) is an essential mediator for many protective functions of HDL, and HDL may act through components like (Apo) A-I or PON-1 to delay heart failure progress. HDL can slow heart failure disease progression through parts like (Apo) A-I or PON-1. The potential causality between HDL and heart failure, the role of HDL in the pathogenesis of HF, and its interaction with C-reactive protein (CRP), triglycerides (TG), and monocytes in the process of heart failure have been briefly summarized and discussed in this article. HDL plays an important role in the pathogenesis, progression and treatment of HF.

Predictive value of monocyte to HDL-C ratio for coronary artery lesions and intravenous immunoglobulin resistance in Kawasaki disease

We aimed to investigate the predictive validity of monocyte to high-density lipoprotein cholesterol ratio (MHR) for coronary artery lesions (CALs) and intravenous immunoglobulin (IVIG) resistance in complete Kawasaki disease (KD). MHR values of a total of 207 complete KD patients were calculated and analyzed with regard to their clinical characteristics and outcomes. We compared the differences in clinical data and laboratory parameters between CAL+ group and CAL- group as well as between IVIG-resistant group and IVIG-responsive group. Spearman's correlation analysis was applied to evaluate the correlation between C-reactive protein (CRP) and MHR. Multivariate logistic regression was used to identify risk factors of CALs and IVIG resistance. Receiver operating characteristic (ROC) curve analysis was chosen to determine the optimal cut-off value of MHR and its validity in predicting CALs and IVIG resistance. The MHR level was significantly higher in the CAL+ group, with cut-off value of 1.30 g/L, yielding a sensitivity of 0.753 and specificity of 0.805, as well as in IVIG-resistant group, with cut-off value of 1.03 g/L, yielding a sensitivity of 0.97 and specificity of 0.485. Multivariate logistic regression showed that MHR was an independent risk factor for CALs but not for IVIG resistance. According to the Spearman's correlation analysis, CRP was positively correlated with the MHR.

CONCLUSIONS

As a practical, cost-effective inflammatory biomarker, MHR has a significantly predictive value in complete KD children complicated with CALs and IVIG-resistance. Paying more attention to the changes of MHR in KD children may contribute to better understanding of KD development and prognosis in clinical practice.

WHAT IS KNOWN

• CALs are the most prevalent serious sequela of KD, and approximately 10%~20% of patients do not respond to IVIG therapy. • MHR could be a convenient biomarker to predict the development and progression of CVDs. It has been reported that the MHR is a new prognostic biomarker in several CVDs.

WHAT IS NEW

• MHR has a significantly predictive value in KD children complicated with CALs and IVIG-resistance. • Compared with the molecular and immunological biomarkers that have been reported, MHR has the characteristics of practical, cost-effective, higher sensitivity and specificity, which can be used as a predictive indicator in complete KD patients.

Predisposition to Type 2 Diabetes in Aspects of the Glycemic Curve and Glycated Hemoglobin in Healthy, Young Adults: A Cross-sectional Study

OBJECTIVES

Our aim in this study was to identify predictors for diabetes among the characteristics of the glycemic curve and glycated hemoglobin (A1C) in healthy, young adults.

METHODS

We used a cross-sectional study to establish predictors for diabetes based on earlier studies and evaluated occurrence of the condition in 81 healthy, young adult subjects. These volunteers underwent analysis of fasting plasma glucose, oral glucose tolerance test plasma glucose, A1C, and inflammatory markers (leukocytes, monocytes, and C-reactive protein). The nonparametric Mann-Whitney U test, Fisher's exact test, chi-square test, Kruskal-Wallis test, and multiple-comparisons test were used to analyze the data.

RESULTS

We studied 2 age groups, homogeneous in terms of family history of diabetes: one group ranged in age from ≥18 to <28 years (median 20 years; body mass index [BMI] 24 kg/m2) and the other group ranged in age from ≥28 to <45 years (median 35 years; BMI 24 kg/m2). The older group had a higher incidence of predictors (p=0.0005) and was associated with the predictors 30-minute blood glucose ≥164 mg/dL (p=0.0190), 60-minute blood glucose ≥125 mg/dL (p=0.0346), and A1C ≥5.5% (p=0.0162), with a monophasic glycemic curve (p=0.007). The younger group was associated with the 2-hour plasma glucose predictor ≥140 mg/dL (p=0.014). All subjects had fasting glucose in the normal range.

CONCLUSIONS

Healthy, young adults may already have predictors of diabetes, identified mainly by aspects of the glycemic curve and A1C, but at more modest levels than those with prediabetes.

Association between monocyte to high-density lipoprotein ratio and coronary heart disease in US adults in the National Health and Nutrition Examination Surveys 2009-2018

BACKGROUND

Monocyte to high-density lipoprotein ratio (MHR) is associated with coronary heart disease (CHD) events. The purpose of this study was to analyze the correlation between MHR and CHD in American adults from 2009 to 2018 in the National Health and Nutrition Examination Surveys (NHANES) database.

METHODS

A total of 25 862 persons in the NHANES from 2009 to 2018 were included in the cross-sectional analysis. The independent variable was MHR and the outcome variable was CHD. MHR was obtained by dividing the number of monocytes by the high-density lipoprotein concentration, and whether it is CHD is obtained through a questionnaire. Univariate analysis, stratified analysis, and a multivariate linear regression model were used to study the correlation between MHR and CHD.

RESULTS

In each multivariate linear regression model, MHR was positively correlated with CHD, and this positive correlation was stable in both men and women [man odds ratio (OR): 1.54; 95% confidence interval (CI), 1.17-2.03; woman OR: 2.21; 95% CI, 1.40-3.50]. Our results show that the association between MHR and CHD was significant until MHR was less than 0.6 (OR: 7.2; 95% CI, 4.0-13.0); however, in cases where MHR was greater than 0.6, the results were negative but not significantly different (OR: 0.6; 95% CI, 0.3-1.2).

CONCLUSION

MHR has a clear association with CHD. Our prediction model and validation model show that MHR is highly predictive and robust as a predictor of CHD, therefore it can play an important role in the prediction of CHD.

CRP/HDL-C and Monocyte/HDL-C ratios as Predictors of Metabolic Syndrome in Patients With Type 2 Diabetes Mellitus

Background

Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications.

Objective

To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals.

Methods

The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients' serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy.

Results

Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients.

Conclusion

This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.

Monocyte to high-density lipoprotein and apolipoprotein A1 ratios are associated with bone homeostasis imbalance caused by chronic inflammation in postmenopausal women with type 2 diabetes mellitus

Objective: Emerging evidences demonstrated that chronic inflammation can influence bone metabolism in type 2 diabetes mellitus (T2DM), leading to bone homeostasis imbalance. The aim of this study was to assess the correlations between novel pro-inflammatory indexes like monocyte to high-density lipoprotein (MHR), apolipoprotein A1 (MAR) ratios and bone mineral density (BMD), bone turnover markers in Chinese postmenopausal women with T2DM.

Method: In this study, a total of 619 participants with complete data were included in the final analysis. Demographic and anthropometric information was collected. Biochemical parameters and bone turnover markers were determined by standard methods. BMD was measured by dual-energy x-ray absorptiometry. Correlation analysis and regression models were conducted to assess the associations between MHR, MAR and bone turnover markers, BMD. Multiple binomial logistic regression model was used to estimate the independent variables of MHR and MAR for osteoporosis.

Results: Overall, the prevalence of osteoporosis was 38.3%. MHR and MAR were significantly correlated with C-terminal cross linking of type I collagen (β-CTX), L1-L4, femoral neck BMD and T scores. These correlations remained significant after adjustment for other confounding factors. Meanwhile, MHR and MAR were also significantly associated with higher odds of osteoporosis, the odds ratios (ORs) (95%CI) were 1.88 (1.49–2.38) and 2.30 (1.72–3.09) respectively. Furthermore, MHR and MAR seemed to have a good identifying value for osteoporosis. The area under the curve of MHR and MAR identifying osteoporosis were 0.791 (95% CI: 0.753–0.828) and 0.843 (95% CI: 0.809–0.877) respectively (p &lt; 0.001). The optimal cut-off values of MHR and MAR were 4.53 × 108/mmol (sensitivity: 60.8%, specificity: 85.9%) and 4.74 × 108/g (sensitivity: 71.7%, specificity: 89.3%) respectively.

Conclusion: MHR and MAR were significantly associated with osteoporosis. These two novel pro-inflammatory indexes may be ideal markers to reflect bone homeostasis imbalance caused by chronic inflammation in Chinese postmenopausal women with T2DM.

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

Purpose

This study was to explore the predictive value of monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophils to high-density lipoprotein cholesterol ratio (NHR), C-reactive protein-to-lymphocyte ratio (CLR), and C-reactive protein-to-albumin ratio (CAR) for type 2 diabetes mellitus (T2DM) in patients with active pulmonary tuberculosis (APTB).

Patients and Methods

A total of 991 active pulmonary tuberculosis (APTB) patients (201 with T2DM) were hospitalized in the Department of Tuberculosis, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology were included. The routine blood examination indicators and biochemical parameters were collected to calculate MHR, NHR, CLR, and CAR. The Pearson correlation analysis, Univariate Logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of MHR, NHR, CLR, and CAR for APTB-T2DM patients.

Results

The levels of MHR, NHR, CLR, and CAR in the APTB-T2DM patients were significantly higher than in the APTB-no T2DM patients (P < 0.05). Additionally, the MHR, NHR, CLR, and CAR have a positive correlation with fasting blood glucose in the whole study population. However, in the APTB-T2DM patients, MHR, NHR, and CAR were not correlated with fasting blood glucose, and only CLR was positively correlated with fasting blood glucose. The area under curve (AUC) predicting APTB-T2DM patients of the MHR, NHR, CLR, and CAR was 0.632, 0.72, 0.715, and 0.713, respectively. Further, univariate logistic regression analyses showed that the higher MHR, NHR, CLR, and CAR were independent risk factors for APTB-T2DM (P < 0.01). The MHR, NHR, CLR, and CAR quartiles were used to divide the APTB patients into four groups for further analysis. The prevalence of T2DM was significantly higher in APTB individuals as MHR, NHR, CLR, and CAR values increased (P < 0.05).

Conclusion

MHR, NHR, CLR, and CAR are simple and practicable inflammatory parameters that could be used for assessing T2DM in APTB. APTB patients have a greater possibility to be diagnosed with T2DM with the higher MHR, NHR CLR, and CAR values. Therefore, more attention should be given to the indicator in the examination of APTB.

Monocyte-to-HDL Ratio (MHR) Predicts Vitamin D Deficiency in Healthy and Metabolic Women: A Cross-Sectional Study in 1048 Subjects

Vitamin D deficiency is often linked with Metabolic Syndrome, both being more frequent with ageing and associated with an increase inflammatory state. Recently, monocytes-to-high density lipoprotein (HDL) ratio (MHR) has emerged as a powerful index to predict systemic inflammation. In this cross-sectional study, we investigated the association between circulating vitamin D level (25-OH vitamin D) and inflammatory status in a population of 1048 adult individuals. Our study reveals an inverse association between 25-OH vitamin D levels and MHR in the overall population. When the population is stratified by gender, waist circumference, and body mass index (BMI), we observed that while in men this relation is strongly significative only in condition of central obesity, in women a lifelong negative correlation exists between circulating 25-OH vitamin D and MHR and it is independent of the metabolic status. These observations underscore the relevance of circulating biomarkers such as MHR in the prediction of systemic inflammatory conditions sustained by vitamin D deficiency also in healthy and young women.

Monocyte to High-Density Lipoprotein Cholesterol Ratio at the Nexus of Type 2 Diabetes Mellitus Patients With Metabolic-Associated Fatty Liver Disease

Background: Recently, monocyte to high-density lipoprotein cholesterol ratio (MHR) as a novel inflammatory biomarker has drawn lots of attention. This study was conducted in patients with type 2 diabetes mellitus (T2DM) to investigate the correlation between MHR and metabolic-associated fatty liver disease (MAFLD).

Methods: Totally, 1,051 patients with T2DM from the Affiliated Hospital of Jiangsu University were enrolled and classified as MAFLD (n = 745) group and non-MAFLD (n = 306) group according to the MAFLD diagnostic criteria. In contrast, patients were also separated into four groups based on MHR quartiles. Anthropometric and biochemical measurements were performed. The visceral fat area (VFA) and subcutaneous fat area (SFA) of participants were measured by dual bioelectrical impedance. Fatty liver was assessed by ultrasonography.

Results: The MHR level of subjects in the MAFLD group was statistically greater than that in the non-MAFLD group (P < 0.05). Meanwhile, MHR was higher in the overweight or obese MAFLD group compared with that in the lean MAFLD group (P < 0.05). The area under the ROC Curve (AUC) assessed by MHR was larger than that of other inflammatory markers (P < 0.01). The cutoff value of MHR was 0.388, with a sensitivity of 61.74% and a specificity of 56.54%. For further study, binary logistic regression analyses of MAFLD as a dependent variable, the relationship between MHR and MAFLD was significant (P < 0.01). After adjusting for many factors, the relationship still existed. In the four groups based on MHR quartiles, groups with higher values of MHR had a significantly higher prevalence of MAFLD (P < 0.05). The percentage of patients with obese MAFLD increased as the MHR level increased (P < 0.01). Among different quartiles of MHR, it showed that with the increasing of MHR, the percentage of patients with MAFLD who had more than four metabolic dysfunction indicators increased, which was 46.39, 60.52, 66.79, and 79.91%, respectively, in each quartile.

Conclusion: Monocyte to high-density lipoprotein cholesterol ratio is a simple and practicable inflammatory parameter that could be used for assessing MAFLD in T2DM. T2DM patients with higher MHR have more possibility to be diagnosed as MAFLD. Therefore, more attention should be given to the indicator in the examination of T2DM.

Diagnostic performance of novel inflammatory biomarkers based on ratios of laboratory indicators for nonalcoholic fatty liver disease

INTRODUCTION

There is few effective biomarkers for diagnosing nonalcoholic fatty liver disease (NAFLD) in clinical practice. This study was aimed to investigate the predictive ability of novel inflammatory biomarkers, including the monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR), for NAFLD.

METHODS

A total of 4465 outpatients diagnosed with NAFLD and 3683 healthy controls were enrolled between May 2016 and November 2021 from the West China Hospital of Sichuan University, and anthropometric and laboratory examination data were collected. The two-sample Mann-Whitney U test and binary logistic regression analysis were used to evaluate the correlations between four inflammatory biomarkers and NAFLD. The areas under the curves (AUCs) of receiver operating characteristic were used to evaluate their predictive ability for NAFLD.

RESULTS

The MHR, NLR and LMR were higher in patients with NAFLD than in healthy controls (P<0.001), whereas the PLR was remarkably lower (P<0.001). The OR values of the MHR, NLR, PLR, and LMR were 1.599 (1.543-1.658), 1.250 (1.186-1.317), 0.987(0.986-0.988) and 1.111(1.083-1.139), respectively(P<0.001). After adjusting for confounding factors, MHR was still the most relevant risk factor for NAFLD compared with other inflammatory markers (P<0.001). The AUCs of the MHR, NLR, PLR, and LMR were as follows: 0.663 (0.651-0.675), 0.524 (0.512-0.537), 0.329 (0.318-0.341), and 0.543 (0.530-0.555), respectively (P<0.001). Furthermore, the diagnostic model combining the MHR with alanine aminotransferase, aspartate aminotransferase, total cholesterol, triglycerides, fasting blood glucose, creatinine, uric acid, and body mass index had the best AUC of 0.931 (0.925-0.936).

CONCLUSIONS

MHR was superior to NLR, PLR and LMR as an inflammatory biomarker in the prediction of NAFLD. When combined with relevant laboratory parameters, the MHR may improve the clinical noninvasive diagnosis of NAFLD.

The Role of Monocyte to High-Density Lipoprotein Cholesterol Ratio in Predicting the Severity of Proteinuria and Renal Dysfunction in Primary Nephrotic Syndrome

Introduction: Monocyte to high-density lipoprotein (HDL) cholesterol ratio (MHR) has emerged as a novel marker of endothelial injury, inflammation, and oxidative stress. This study aimed to investigate the effect of MHR on primary nephrotic syndrome (NS) and its relationship with the severity of proteinuria.

Methods: This study enrolled 161 patients newly diagnosed with primary NS and 100 healthy individuals. Demographic characteristics of the patients, primary NS diagnosis, basal laboratory parameters, the amount of 24-hour urinary protein excretion, and MHR were recorded. The groups were compared regarding these parameters.

Results: MHR was significantly higher in patients with primary NS compared with the healthy group (12.89 ± 4.86 and 9.71 ± 2.30, respectively; p < 0.001). There was no difference between the groups in terms of age and sex. The amount of protein in the 24-hour urine in patients with a diagnosis of primary NS was 6.91 ± 3.73 g/day. The correlation analysis showed a positive correlation between MHR and the amount of proteinuria (r = 0.519, p < 0.001) and creatinine level (r = 0.167, p = 0.034). The multivariate regression analysis found that the severity of proteinuria was independently correlated to MHR (p < 0.001). According to the receiver operating characteristic curve analysis, the optimal cut-off level for MHR in NS was 10.08 (area under the curve of 0.704, sensitivity of 68%, and a specificity of 62%).

Conclusion: Our study is the first to compare the severity of proteinuria and renal functions with MHR in patients with primary NS. We believe that MHR can be used as a biomarker to determine inflammation, endothelial injury, and the level of oxidative stress, and may be useful to predict prognosis in patients with primary NS.

Association of the Monocyte-to-High-Density Lipoprotein Cholesterol Ratio With Diabetic Retinopathy

Background: Chronic inflammation in type 2 diabetes mellitus (T2DM) is an essential contributor to the development of diabetic retinopathy (DR). The monocyte–to–high-density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel and simple measure related to inflammatory and oxidative stress status. However, little is known regarding the role of the MHR in evaluating the development of DR.

Methods: A total of 771 patients with T2DM and 607 healthy controls were enrolled in this cross-sectional study. MHR determination and eye examination were performed. The association of MHR with the prevalence of DR in T2DM patients was analyzed.

Results: The MHR in patients with DR was significantly higher than that in both non-DR diabetic patients (P < 0.05) and healthy controls (P < 0.01). No significance was observed in the MHR of different DR severity grades. Moreover, the MHR was similar between patients with non-macular oedema and those with macular oedema. Logistic regression analysis demonstrated that MHR was independently associated with the prevalence of DR in diabetic patients [odds ratio (OR) = 1.438, 95% confidence interval (CI): 1.249–1.655, P < 0.01]. After additional stratification by HbA1c level and diabetic duration, the MHR was still independently associated with the prevalence of DR.

Conclusions: Our study suggests that the MHR can be used as a marker to indicate the prevalence of DR in patients with T2DM.

Relationship between monocyte-to-high-density lipoprotein cholesterol ratio and excess weight loss in laparoscopic sleeve gastrectomy

Aim: The present study evaluates the relationship between the monocyte-to-high-density lipoprotein cholesterol ratio (MHR) and the percentage of excess weight loss (%EWL) in patients undergoing laparoscopic sleeve gastrectomy. Method: This prospective cohort study evaluated 125 patients who underwent laparoscopic sleeve gastrectomy. The MHR before and at 6 months after surgery were compared in patients with <50 and ≥50 %EWL. Results: The MHR was lower in patients with a %EWL of <50 than in patients with a %EWL of ≥50 (p = 0.019). The decrease in the MHR at postoperative 6 months was more remarkable in patients with a %EWL of ≥50 (p < 0.001). Conclusion: The present study suggests that MHR decreased more remarkably at postoperative 6 months in patients with high %EWL, predicting a decrease in cardiovascular risk.

Impact of monocyte to high-density lipoprotein ratio on the identification of prevalent coronary heart disease: insights from a general population

BACKGROUND

Recent studies have identified monocyte to high-density lipoprotein ratio (MHR) as a simple, practical surrogate of atherosclerosis. Considering atherosclerosis is a major mechanism of coronary heart disease (CHD). The present study aims to evaluate the association between MHR and the prevalence of CHD.

METHODS AND RESULTS

The present cross-sectional work included 6442 participants (mean age: 59.57 years, 60.2% females), all of them were included from rural areas of northern China between October 2019 to April 2020. MHR was acquired as monocytes count divided by high-density lipoprotein concentration. Prevalent CHD researched 3.14%. After adjustment of sex, age, current drinking and smoking, BMI, WC, diabetes, hypertension, LDL-C, TG, eGFR, lipid-lowering therapy and cerebrovascular disease history, each standard deviation increase of MHR cast a 39.5% additional CHD risk. Furthermore, the top quartile of MHR had an additional 89.0% CHD risk than the bottom quartile. Besides, smooth curve fitting revealed a linear pattern of the association. Additionally, the stratified evaluation showed a robust correlation among the subgroups divided by CHD risk factors. Finally, area under the curve demonstrated an advancement when including MHR into common CHD risk factors (0.744 vs 0.761, p < 0.001). Consistently, reclassification analysis indicated the improvement from MHR (all P = 0.003).

CONCLUSION

Our work suggests the robust and linear relationship between MHR and the prevalent CHD in a general population, providing epidemiological evidence for laboratory studies. More importantly, the findings implicate the efficacy of MHR to be a potential indicator to identify the prevalent CHD.

Association of monocyte-to-high density lipoprotein ratio with arterial stiffness in patients with diabetes

BACKGROUND

Previous studies proposed that chronic inflammation in diabetes has a role in abnormal collagen production and elastin degradation, which promotes arterial stiffness. Monocyte-to-High Density Lipoprotein cholesterol ratio (MHR) is a simple measurement associated with inflammation and oxidative stress. However, little is known about the relationship of MHR with arterial stiffness. This study aimed to determine the association of MHR with arterial stiffness in patients with diabetes.

METHODS

A total of 81 patients with type 2 diabetes mellitus were enrolled in a cross-sectional study. Arterial stiffness factor in this study was Cardio Ankle Vascular Index (CAVI). We analyzed complete blood count and lipid profile in all participants, then performed statistical analysis to determine the relationship between MHR and CAVI. Receiver operating characteristic (ROC) analysis was used to estimate the cut-off values of MHR to predict CAVI ≥ 9.

RESULTS

Median of MHR in this study was 11.91 with the mean of CAVI was 8.13 ± 0.93. Spearman correlation analysis revealed a significant positive correlation between MHR and CAVI (ρ = 0.239, p = 0.031). Multivariate analysis showed the independent association of MHR to arterial stiffness (β = 0.361, 95% CI 0.023-0.093) and to CAVI ≥ 9 (OR 1.181, 95% CI 1.047-1.332). The cut-off values of MHR for predicting CAVI ≥ 9 were identified as ≥ 13 (OR 3.289, 95% CI 1.036-10.441).

CONCLUSION

MHR is associated with CAVI in patients with diabetes, irrespective of various potential confounders.

AST to Platelet Ratio Index (APRI) is an easy-to-use predictor score for cardiovascular risk in metabolic subjects

Visceral obesity is characterized by a low-grade inflammatory systemic state that contributes to the genesis of non-alcoholic fatty liver disease (NAFLD), frequently associated with liver fibrosis. Non-invasive serum markers have recently emerged as reliable, easy-to-use scores to predict liver fibrosis. NAFLD is often linked to metabolic and cardiovascular risk. Thus, in this cross-sectional study, we investigated in a population of 1225 subjects if AST to Platelet Ratio Index (APRI), one of the non-invasive liver fibrosis serum markers, can predict cardiovascular risk (CVR). APRI has been previously validated as an efficient score to predict liver fibrosis in viral hepatitis patients with a cut-off of 0.5 for fibrosis and 1.5 for cirrhosis. Our study showed that APRI significantly correlates with CVR and determines, when elevated, a significant increase in CVR for both genders, especially females. This spike in CVR, observed when APRI is elevated, is relatively high in patients in the age of 51–65 years, but it is significantly higher in younger and premenopausal women, approaching risk values usually typical of men at the same age. Taken together, our data highlighted the role of APRI as a reliable predictor easy-to-use score for CVR in metabolic patients.

Evaluation of the systemic inflammation in patients with pterygium: Monocyte-to- high-density lipoprotein cholesterol ratio and hematologic indexes of inflammation

PURPOSE:

The purpose of this study is to evaluate systemic inflammation in patients with pterygium using the monocyte-to-high-density lipoprotein cholesterol ratio (MHR) and hematologic indexes of inflammation.

METHODS:

Thirty-one patients with primary pterygium and 31 age-and sex-matched healthy participants were enrolled in this retrospective study. The MHR, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio, eosinophil-to-lymphocyte ratio, monocyte-to-eosinophil ratio, mean platelet volume-to-platelet count ratio, platelet distribution width, and red cell distribution width were compared between the two groups.

RESULTS:

There was not a statistically significant difference in terms of the MHR between the pterygium group and the control group (P = 0.693). The NLR was higher in the pterygium group than in the control group (P = 0.028). In the other hematologic indexes, there were no statistically significant differences between the two groups (P > 0.05 for all).

CONCLUSION:

The MHR is not associated with the presence of pterygium. An increased NLR in patients with pterygium may be an indicator of systemic inflammation.

Prognostic Value of Leucocyte to High-Density Lipoprotein-Cholesterol Ratios in COVID-19 Patients and the Diabetes Subgroup

BACKGROUND

Blood parameters, such as neutrophil-to-lymphocyte ratio, have been identified as reliable inflammatory markers with diagnostic and predictive value for the coronavirus disease 2019 (COVID-19). However, novel hematological parameters derived from high-density lipoprotein-cholesterol (HDL-C) have rarely been studied as indicators for the risk of poor outcomes in patients with severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) infection. Here, we aimed to assess the prognostic value of these novel biomarkers in COVID-19 patients and the diabetes subgroup.

METHODS

We conducted a multicenter retrospective cohort study involving all hospitalized patients with COVID-19 from January to March 2020 in five hospitals in Wuhan, China. Demographics, clinical and laboratory findings, and outcomes were recorded. Neutrophil to HDL-C ratio (NHR), monocyte to HDL-C ratio (MHR), lymphocyte to HDL-C ratio (LHR), and platelet to HDL-C ratio (PHR) were investigated and compared in both the overall population and the subgroup with diabetes. The associations between blood parameters at admission with primary composite end-point events (including mechanical ventilation, admission to the intensive care unit, or death) were analyzed using Cox proportional hazards regression models. Receiver operating characteristic curves were used to compare the utility of different blood parameters.

RESULTS

Of 440 patients with COVID-19, 67 (15.2%) were critically ill. On admission, HDL-C concentration was decreased while NHR was high in patients with critical compared with non-critical COVID-19, and were independently associated with poor outcome as continuous variables in the overall population (HR: 0.213, 95% CI 0.090-0.507; HR: 1.066, 95% CI 1.030-1.103, respectively) after adjusting for confounding factors. Additionally, when HDL-C and NHR were examined as categorical variables, the HRs and 95% CIs for tertile 3 vs. tertile 1 were 0.280 (0.128-0.612) and 4.458 (1.817-10.938), respectively. Similar results were observed in the diabetes subgroup. ROC curves showed that the NHR had good performance in predicting worse outcomes. The cutoff point of the NHR was 5.50. However, the data in our present study could not confirm the possible predictive effect of LHR, MHR, and PHR on COVID-19 severity.

CONCLUSION

Lower HDL-C concentrations and higher NHR at admission were observed in patients with critical COVID-19 than in those with noncritical COVID-19, and were significantly associated with a poor prognosis in COVID-19 patients as well as in the diabetes subgroup.

Could the monocyte/HDL cholesterol ratio be an early marker of erectile dysfunction?

OBJECTIVE

Research evaluating the relationship between the Monocyte/HDL-C ratio (MHR) and ED is limited in number. We aimed for determining whether MHR could be an early marker of ED in our study.

MATERIAL AND METHODS

Eighty-nine patients diagnosed with ED during the period of April 2018-November 2018 and 100 patients that did not have any systemic diseases and erectile dysfunction were included in our study. The presence of ED was evaluated with International Erectile Function Index (IIEF-5). Peripheral blood samples were collected from the patients for complete blood count and biochemical analyses. The relationship between ED and MHR was evaluated for both groups.

RESULTS

Body mass indices (BMI) of the ED group and the control group were significantly different in statistical terms. While a significant difference was observed for fasting blood glucose, total testosterone, luteinizing hormone values between the ED group and the control group, and follicle stimulant hormone values were found to be similar with each other. MHR values of two groups were found to be significantly different.

DISCUSSION

MHR can be used as a marker for the determination of ED's severity and for its monitoring. We also believe that a large series of clinical and research studies are required for it to be applicable in clinical practice. Being the first prospective study in literature, we believe that our study would provide important contributions to the literature.

Associations of serum monocyte-to-high-density lipoprotein cholesterol ratio with digital ulcers and skin fibrosis in patients with systemic sclerosis

Objective: To investigate the relationship between the monocyte-to-high-density lipoprotein cholesterol ratio (MHR) and clinical manifestations in patients with systemic sclerosis (SSc).Method: This was a cross-sectional analysis of a cohort study comprising 111 female SSc patients recruited from a tertiary care rheumatology centre. We also assessed 222 age-matched female healthy controls. Serum MHR was measured in all study participants. Digital ulcer (DU) was defined as an active or healed ulceration, and the magnitude of skin fibrosis was determined according to the modified Rodnan skin score (mRSS).Results: The mean age and median disease duration in patients with SSc were 56.3 years and 98 months, respectively. The MHR in SSc patients was significantly higher than that in controls. DU was found in 35 patients (31.5%) with SSc (active in 12 and healed in 23), and the median mRSS was 8. SSc patients with DU had a significantly higher median MHR than those without (11.43 vs 7.62, p < 0.001), and MHR significantly positively correlated with mRSS (ρ = 0.289, p = 0.002). Multivariable logistic regression revealed that an elevated MHR was independently associated with increased risk of DU (odds ratio = 1.21; 95% confidence interval = 1.07-1.35; p = 0.002). In the multivariable linear regression analysis, higher MHR showed a significant association with increased log-transformed mRSS (unstandardized β = 0.052, p = 0.003).Conclusion: Our findings suggest that the MHR could be serve as a potential biomarker of the risk of DU and advanced skin fibrosis in patients with SSc.

Diagnostic value of monocyte to high-density lipoprotein ratio in acute aortic dissection in a Chinese han population

Background: Recently, considerable evidence pointed out monocyte to high-density lipoprotein ratio (MHR) is highly related to inflammatory related diseases. We aim to explore the level of MHR in acute aortic dissection (AAD) patients and determine whether MHR can be a novel diagnostic marker of AAD. Research design and methods: A total of 228 subjects including 128 AAD patients and 110 healthy control were enrolled. MHR levels and other serum samples were obtained at admission. Results: The baseline MHR levels were significantly higher in patients with AAD (p < 0.0001). A cutoff value of MHR >0.37 was associated with a sensitivity of 86.70% and a specificity of 93.60% for AAD. MHR levels were positively correlated with the time from symptom onset (R² = 0.0318, p = 0.0003). Additionally, the area under the curve (AUC) was increased to 0.979 in patients whose time from onset of symptoms >24 h, with a sensitivity of 98.04% and a specificity of 93.64%. Multivariate logistic regression demonstrated that MHR levels, history of hypertension, and coronary artery disease (CHD) emerged as independent predictors of AAD. Expert Opinion: MHR has a high diagnostic value in AAD patients, especially in those whose time from onset of symptoms >24 h.

Effect of Central Obesity and Hyperandrogenism on Selected Inflammatory Markers in Patients with PCOS: A WHtR-Matched Case-Control Study

White blood cell counts (WBC), lymphocyte-to-monocyte ratio (LMR), and monocyte-to-high-density lipoprotein cholesterol ratio (MHR) are used as chronic inflammation markers. Polycystic ovary syndrome (PCOS) is a constellation of systemic inflammation linked to central obesity (CO), hyperandrogenism, insulin resistance, and metabolic syndrome. The waist-to-height ratio (WHtR) constitutes a highest-concordance anthropometric CO measure. This study aims to access WBC, LMR, and MHR in PCOS and healthy subjects, with or without CO. Establishing relationships between complete blood count parameters, high-sensitivity C-reactive protein (hsCRP), and hormonal, lipid and glucose metabolism in PCOS. To do this, WBC, LMR, MHR, hsCRP, anthropometric, metabolic, and hormonal data were analyzed from 395 women of reproductive age, with and without, PCOS. Correlations between MHR, and dysmetabolism, hyperandrogenism, and inflammation variables were examined. No differences were found in WBC, LMR, MHR, and hsCRP between PCOS and controls (p > 0.05). PCOS subjects with CO had higher hsCRP, MHR, and WBC, and lower LMR vs. those without CO (p < 0.05). WBC and MHR were also higher in controls with CO vs. without CO (p < 0.001). MHR correlated with anthropometric, metabolic, and endocrine parameters in PCOS. WHtR appeared to strongly predict MHR in PCOS. We conclude that PCOS does not independently influence WBC or MHR when matched for CO. CO and dysmetabolism may modify MHR in PCOS and control groups.

Relation Between the Novel Marker Monocyte to High-Density Lipoprotein Cholesterol Ratio and Severity in Multiple Sclerosis

INTRODUCTION

This study aimed to establish whether there is a relationship between the Monocyte to High-Density Lipoprotein Cholesterol (HDL-C) ratio (MHR) and severity of disease, and whether it can be used as a new marker for predicting disability in Multiple Sclerosis (MS), a chronic disease, which is usually contracted in early adolescence.

METHODS

184 patient subjects who had been definitively diagnosed with MS, based on the McDonald criteria, and 105 healthy subjects with a similar age and gender profile were included in the study. The patients' Expanded Disability Status Scale (EDSS) scores, MS subtypes, length of time with the disease and demographics were captured. Blood samples were collected for hematologic and biochemical testing. The MHR values were calculated and statistically compared with those of the control group.

RESULTS

The average age of the MS patients was 38.3 ± 8.6 years and their average EDSS score was 2.5 [0-7.5]. The patient arm consisted of 118 (64.1%) females and 66 (35.9%) males. In the patients with MS, the MHR was 15.01 ± 0.63 compared to 9.61 ± 0.25 in the controls. This difference was statistically significant (P < 0.001). In the MS patients, the MHR cut-off value was 12.95 compared to controls, which was statistically significant (P < 0.001). Also, a statistically-significant (r: 0.297, P < 0.001) positive correlation was found between the MHR and EDSS score.

CONCLUSION

The Monocyte to High-Density Lipoprotein Cholesterol ratio is associated with disease severity and disability in MS patients, and may be used as an independent marker for predicting disability. However, broader-scale studies are needed for more conclusive results.

Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects

Metabolic Syndrome (MS) is characterized by a low-grade inflammatory state causing an alteration of non-invasive indexes derived from blood count, namely monocyte-to-HDL ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). We analyse a population of 771 subjects (394 controls and 377 MS patients) to evaluate the best predictive index of MS. The diagnosis of MS was made according to the 2006 criteria of the International Diabetes Federation (IDF). We performed ROC curve analyses to evaluate the best predictor index of MS. MHR cut-off value was used to classify the population in two different groups and to create the outcome variable of the Recursive Partitioning and Amalgamation (RECPAM) analysis. This method is a tree-structured approach that defines "risk profiles" for each group of dichotomous variables. We showed that MHR index is significantly linked to body mass index (BMI), waist circumference, creatinine, C-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR). ROC curve defined an MHR cut-off value of 6.4, which was able to identify two patient groups with significant differences in waist circumference, blood pressure, creatinine, estimated glomerular filtration rate and fasting plasma glucose. RECPAM analysis demonstrated that gender, BMI categorization and hyperglycaemia were the most important risk determinants of increased MHR index that can be considered bona fide a useful and easily obtainable tool to suggest the presence of peculiar metabolic features that predict MS.

Impact of monocyte to high-density lipoprotein ratio on prevalent hyperuricemia: findings from a rural Chinese population

BACKGROUND

Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a novel inflammatory marker that has been used to predict various inflammation-related diseases. This study aims to explore the association between MHR and prevalent hyperuricemia in a rural Chinese population.

METHODS

8163 eligible participants (mean age: 54.13 years, males: 45.71%) from northeast China were enrolled in this cross-sectional study between 2012 to 2013. MHR was determined as blood monocyte count ratio to high-density lipoprotein cholesterol concentration.

RESULTS

The prevalence of hyperuricemia was 12.86%. After adjusting for potential confounding factors, per SD increase of MHR caused a 25.2% additional risk for hyperuricemia, and the top quartile of MHR had an 82.9% increased risk for hyperuricemia compared with the bottom quartile. Additionally, smooth curve fitting and subgroup analyses showed a linear and robust association between MHR and prevalent hyperuricemia respectively. Finally, after introducing MHR into the established model of risk factors, the AUC displayed a significant improvement (0.718 vs 0.724, p = 0.008). Furthermore, Category-free net reclassification improvement (0.160, 95% CI: 0.096-0.224, P < 0.001) and integrated discrimination improvement (0.003, 95% CI: 0.002-0.005, P < 0.001) also demonstrated significant improvements.

CONCLUSIONS

The present study suggests that MHR was positively and independently correlated with prevalent hyperuricemia among rural Chinese adults. Our results also implicate an important value for MHR in optimizing the risk stratification of hyperuricemia.

Neutrophil and monocyte ratios to high-density lipoprotein-cholesterol and adiponectin as biomarkers of nascent metabolic syndrome

Background

Metabolic syndrome (MetS) continues to be a significant problem globally, affecting nearly 35% of adults in the USA. Whilst there is no ideal biomarker that captures this disorder, high sensitivity C-reactive protein (hsCRP) appears to be most widely accepted. We examined the ratios between neutrophils (PMNs) and monocytes to high-density lipoprotein (HDL)-cholesterol and adiponectin, two anti-inflammatory proteins, in patients with nascent MetS without the confounding of diabetes, atherosclerotic cardiovascular diseases (ASCVD), smoking or lipid therapy to determine if they were also valid biomarkers of MetS.

Materials and methods

Patients with nascent MetS (n = 58) and matched controls (n = 44) were recruited from Sacramento County. Fasting blood samples were obtained for complete blood counts, basic metabolic panel, lipid profile, insulin and adiponectin. Ratios of PMNs and monocytes to HDL-C and adiponectin were calculated and compared statistically.

Results

The PMN:HDL-C, monocyte:HDL-C, PMN:adiponectin and monocyte:adiponectin ratios were significantly increased in patients with MetS and increased with increasing severity of MetS. Receiver operating characteristic (ROC) curve analysis showed that both the PMN:HDL-C and monocyte:HDL-C areas under the curve (AUCs) significantly added to the CRP AUC. Also both the ratios correlated with cardio-metabolic features of MetS, hsCRP and insulin resistance.

Conclusions

Our data indicates that ratios of neutrophils and monocytes to HDL-C are significantly increased in patients with nascent MetS and both ratios appear to be better predictors of MetS than hsCRP alone. These important preliminary findings need to be confirmed in large prospective databases.

Monocyte-to-HDL-cholesterol ratio as a prognostic marker in cardiovascular diseases

Inflammation and lipid accumulation are two basic hallmarks of atherosclerosis as a chronic disease. Inflammation not only is a local response but can also be considered as a systemic process followed by an elevation of inflammatory mediators. Monocytes are a major source of proinflammatory species during atherogenesis. In atherosclerosis, modified low-density lipoproteins (LDLs) are removed by macrophages; these are recruited in the vessel wall, inducing the release of inflammatory cytokines in inflamed tissue. Hence, inflammatory cholesterol ester-loaded plaque is generated. High-density lipoprotein-cholesterol (HDL-C) exhibits antiatherosclerotic effects by neutralizing the proinflammatory and pro-oxidant effects of monocytes via inhibiting the migration of macrophages and LDL oxidation in addition to the efflux of cholesterol from these cells. Furthermore, HDL plays a role in suppressing the activation of monocytes and proliferation-differentiation of monocyte progenitor cells. Thus, accumulation of monocytes and reduction of HDL-C may participate in atherosclerosis and cardiovascular diseases (CVD). Given that the relationship between the high number of monocytes and low HDL-C levels has been reported in inflammatory disorders, this review focused on understanding whether the monocyte-to-HDL ratio could be a convenient marker to predict atherosclerosis development and progression, hallmarks of CV events, instead of the individual monocyte count or HDL-C level.