Determinant roles of gender and age on <scp>SII</scp>,<scp> PLR</scp>,<scp> NLR</scp>,<scp> LMR</scp> and <scp>MLR</scp> and their reference intervals defining in Henan, China: A posteriori and big‐data‐based

Meng, Xianchun; Chang, Qian; Liu, Yuying; Chen, Ling; Wei, Gaohui; Yang, Jingjing; Zheng, Peng; He, Fucheng; Wang, Wanhai; Ming, Liang

doi:10.1002/jcla.22228

Cited by 58 publications

(42 citation statements)

References 22 publications

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“…Contrary to the mdNLR, no adjustment is required when comparing the mdLMR with directly measured ratios ( 5 ). On average, the PURE-SA-NW study population had lower mdLMRs than the LMRs previously reported for Asian, Chinese, and Western Indian cohorts ( 15 , 16 , 40 ). An overlap in the reference ranges of these four ethnic groups that were compared was, however, clearly visible ( Supplementary Figure 2 ).…”

Section: Discussioncontrasting

confidence: 62%

“…Regardless of a possible adjustment, our data agrees with prior reports of more favorable NLRs in black populations ( 14 ), than Hispanic and white American ethnic groups. For the first time a comparison has been drawn between an African study population and European, Asian, and Chinese cohorts ( 13 , 15 , 16 ). No notable differences were observed between the black African study population reported on here and data from European, Asian, or Chinese cohorts.…”

Section: Discussionmentioning

confidence: 99%

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Methylation vs. Protein Inflammatory Biomarkers and Their Associations With Cardiovascular Function

et al. 2020

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DNA methylation data can be used to estimate proportions of leukocyte subsets retrospectively, when directly measured cell counts are unavailable. The methylation-derived neutrophil-to-lymphocyte and lymphocyte-to-monocyte ratios (mdNLRs and mdLMRs) have proven to be particularly useful as indicators of systemic inflammation. As with directly measured NLRs and LMRs, these methylation-derived ratios have been used as prognostic markers for cancer, although little is known about them in relation to other disorders with inflammatory components, such as cardiovascular disease (CVD). Recently, methylation of five genomic cytosine-phosphate-guanine sites (CpGs) was suggested as proxies for mdNLRs, potentially providing a cost-effective alternative when whole-genome methylation data are not available. This study compares seven methylation-derived inflammatory markers (mdNLR, mdLMR, and individual CpG sites) with five conventionally used protein-based inflammatory markers (C-reactive protein, interleukins 6 and 10, tumor-necrosis factor alpha, and interferon-gamma) and a protein-based inflammation score, in their associations with cardiovascular function (CVF) and risk. We found that markers of CVF were more strongly associated with methylation-derived than protein-based markers. In addition, the protein-based and methylation-derived inflammatory markers complemented rather than proxied one another in their contribution to the variance in CVF. There were no strong correlations between the methylation and protein markers either. Therefore, the methylation markers could offer unique information on the inflammatory process and are not just surrogate markers for inflammatory proteins. Although the five CpGs mirrored the mdNLR well in their capacity as proxies, they contributed to CVF above and beyond the mdNLR, suggesting possible added functional relevance. We conclude that methylation-derived indicators of inflammation enable individuals with increased CVD risk to be identified without measurement of protein-based inflammatory markers. In addition, the five CpGs investigated here could be useful surrogates for the NLR when the cost of array data cannot be met. Used in tandem, methylation-derived and protein-based inflammatory markers explain more variance than protein-based inflammatory markers alone.

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Section: Discussioncontrasting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Methylation vs. Protein Inflammatory Biomarkers and Their Associations With Cardiovascular Function

et al. 2020

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“…In our study we found NLR significantly higher in males than in females. In recent studies NLR-PLR have been found to be higher in males in healthy controls (19), morbid obese patients (20) and cancer patients (21).…”

Section: Discussionmentioning

confidence: 94%

Is There a Relationship between Parathyroid Hormone and Neutrophil Lymphocyte Ratio or Platelet Lymphocyte Ratio?

et al. 2019

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Context. Neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) are recent prognostic markers associated with inflammation in many diseases such as chronic kidney disease (CKD), malignancies, myocardial infarction. Objective. In this study, we investigated the relationship between NLR-PLR and parathyroid hormone (PTH) and vitamin D in patients with high PTH levels. Design. The patients with high PTH levels in Nephrology and Endocrinolgy Outpatient clinics were evaluated retrospectively. Subjects and methods. The medical records of the patients were examined and clinical data, including demographic details, clinical and laboratory findings, treatment and follow-up data were obtained. NLR and PLR were calculated. Serum creatinine, calcium, phosphorus, magnesium, lipid levels, calcium phosphorus product, PTH and vitamin D values were investigated. The relationship between NLR-PLR and laboratory parameters, GFR (MDRD-GFR), PTH and vitamin D were investigated. Results. 48 male and 253 female patients were enrolled in this study. The mean age was 57.57±13.28. NLR correlated negatively with albumin, hemoglobin, vitamin D, calcium and cholesterol and it positively correlated with creatinine and PTH. Multiple regression analysis showed that main determinants of NLR were PTH, albumin, LDLcholesterol, hemoglobin and gender. Conclusions. In this study NLR and PLR correlated negatively with hemoglobin and cholesterol. Positive correlation between NLR and creatinine could be explained by increased degrees of inflammation associated with more pronounced degrees of renal dysfunction. The impact of PTH on NLR was independent of GFR. In multiple regression model this suggests that PTH could be a pro-inflammatory parameter independent of the degree of renal dysfunction.

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“…Over the past decade, increasing studies have reported that many blood routine examination‐derived biomarkers, such as NLR, PLR, and LMR, whose levels could be closely related to systemic inflammation and immune response status . These biomarkers are proved to be well associated with various infectious diseases, oncological diseases and autoimmune diseases .…”

Section: Discussionmentioning

confidence: 99%

“…SII is an emerging inflammatory index which can overall reflect the body immune and inflammatory status. Given that platelet, neutrophil, and lymphocyte might be easily influenced by individual differences, such as age, gender, and comorbidity, SII is constructed by the ratio of these indices and could attenuate the individual interferences.y Noteworthily, only SII remained to exert an effective role in discriminating high or low fracture risk in the follow‐up. This good performance of SII might be because it integrated three immune or inflammatory indices including platelet counts, neutrophil counts, and lymphocyte counts.…”

Section: Discussionmentioning

confidence: 99%

Systemic immune‐inflammation index acts as a novel diagnostic biomarker for postmenopausal osteoporosis and could predict the risk of osteoporotic fracture

Fang

Zhang

Wang

et al. 2019

Clinical Laboratory Analysis

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Abbreviations: BMD, bone mineral density; BMI, body mass index; CI, confidence interval; DEXA, dual-energy X-ray absorptiometry; HR, hazard ratio; LMR, lymphocyte-to-monocyte ratio; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; NLR, neutrophil-to-lymphocyte ratio; OR, odds ratio; PDW, platelet distribution width; PLR, platelet-to-lymphocyte ratio; PMOP, postmenopausal osteoporosis; RDW, red blood cell distribution width; SII, systemic immune-inflammation index. AbstractBackground: Postmenopausal osteoporosis (PMOP) is a bone metabolism disorder involving systematic inflammation activation. Blood routine examination is easily available in clinical practice and contains abundant information reflecting the systematic inflammation level. Thus, it is attractive to achieve early diagnosis of PMOP and predict osteoporotic fracture risk just based on the biomarkers in blood routine examination.Methods: A multi-centric prospective cohort study was designed and enrolled postmenopausal women from two independent institutions. All participants underwent the dual-energy X-ray absorptiometry (DEXA) scanning for diagnosing PMOP. Blood routine examination was conducted, and the key inflammatory biomarkers such as neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) were calculated. PMOP patients were followed up to observe osteoporotic fracture and identify the related risk predictors.Results: A total of 92 participants out of 238 enrolled postmenopausal women were diagnosed with PMOP, with a prevalence of 38.66%. The main risk factors identified for PMOP included older age (OR = 2.06, 95% CI = 1.14-3.72), longer menopause duration (OR = 3.14, 95% CI = 2.06-4.79), higher NLR (OR = 2.11, 95% CI = 1.37-3.25), and higher SII (OR = 3.02, 95% CI = 1.98-4.61). Besides age and menopause duration, SII ≥834.89 was newly identified as a prominent risk factor for discriminating osteoporotic fracture risk in PMOP patients (HR = 3.66, 95% CI = 1.249-10.71). Conclusion:As an easy and economical biomarker calculated from blood routine examination, SII not only acts as a good risk predictor for PMOP diagnosis but also well discriminates the osteoporotic fracture risk, which deserves further investigation and application in clinical practice.

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Determinant roles of gender and age on SII, PLR, NLR, LMR and MLR and their reference intervals defining in Henan, China: A posteriori and big‐data‐based

Abstract: RIs of SII, PLR, NLR, LMR and MLR of people in central China were established and validated. It will benefit experimental design of the related studies and lead to better standardizations of SII, PLR, NLR, LMR and MLR for their clinical applications.

Cited by 58 publications

References 22 publications

Methylation vs. Protein Inflammatory Biomarkers and Their Associations With Cardiovascular Function

Methylation vs. Protein Inflammatory Biomarkers and Their Associations With Cardiovascular Function

Is There a Relationship between Parathyroid Hormone and Neutrophil Lymphocyte Ratio or Platelet Lymphocyte Ratio?

Systemic immune‐inflammation index acts as a novel diagnostic biomarker for postmenopausal osteoporosis and could predict the risk of osteoporotic fracture

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