Figures
Abstract
Objectives
The aim of the study was to evaluate the relationship between monocyte and lymphocyte ratio (MLR) with severe AAC.
Methods
This cross-sectional study enrolled 3041 patients with AAC from the National Health and Nutrition Examination Survey 2013–2014. Abdominal aortic calcification detected with dual-energy X-ray absorptiometry was quantified using the Kauppila score system. We measured white blood cell, neutrophil, lymphocyte counts, monocyte counts, red blood cell, calcium, 25-VitD3, and phosphorus levels in blood samples. Multivariate logistic regression was performed to examine the association between MLR (as a qualitative or quantitative variable) and severe AAC morbidity.
Citation: Yan W, Hu T (2025) Association of monocyte and lymphocyte ratio with risk of abdominal aortic calcification. PLoS One 20(7): e0327888. https://doi.org/10.1371/journal.pone.0327888
Editor: Aleksandra Klisic, University of Montenegro-Faculty of Medicine, MONTENEGRO
Received: July 16, 2024; Accepted: June 23, 2025; Published: July 3, 2025
Copyright: © 2025 Yan, Hu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The original data can be obtained from NHANES (https://www.cdc.gov/nchs/nhanes/index.htm) in the cycle of 2013-2014, combining the dataset of Demographics Data, Examination Data and Laboratory Data.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Abdominal aortic calcification (AAC) is highly prevalent in general population, which presents in 22.4% of the male and 16.4% in females, and the prevalence increases to 100% in both males and females over 75 years old [1]. Severe AAC disturbs abdominal aortic blood flow [2] and is associated with a higher risk of major cardiovascular event [3]. In a recent meta-analysis, high-risk patients with advanced abdominal aortic calcification have a higher risk of cardiovascular events, elevated all-cause mortality and in general a poorer prognosis [4].
The pathological studies of vascular calcification have demonstrated that arteriosclerotic calcification, occurring in the neointimal plaque caused by atherosclerosis, has a significant correlation with the progression of AAC [5]. Aortic calcification provides stabilization of abdominal aortic aneurysm growth by reducing aortic wall stress and biomechanical vessel wall stability [6,7].
Inflammation plays a key role in atherosclerosis and vascular calcification. Blood cell ratios, such as neutrophil-to-lymphocyte (NLR) and platelet-to-lymphocyte (PLR), have been proposed as biomarkers of vascular disease severity [8–10]. The monocyte-to-lymphocyte ratio (MLR) reflects the balance between pro-inflammatory monocytes and regulatory lymphocytes and has been associated with adverse outcomes in coronary artery disease and heart failure [11].
However, there is lack of data regarding the association between MLR and severe AAC. Thus, we perform a cross-sectional study to hypothesize that elevated MLR levels, as an elevated inflammatory component, may be associated with unstable AAC and atherothrombotic events.
Methods
Study population
The study included individuals from the National Health and Nutrition Examination Survey (NHANES) 2013−2014. After excluding the missing data on abdominal aortic calcification score, monocyte and lymphocyte counts, 3041 participants were enrolled in our study. Fig 1 depicted the process of participant selection at length. All data used in this manuscript are freely available to the public. Written informed consent was acquired from each participant and the protocol was approved by NCHS Research Ethics Review Board (Protocol #2011-17).
Survey and measurement
Demographic and health-related data were collected using standardized questionnaires (https://wwwn.cdc.gov/Nchs/Nhanes/2013-2014/DEMO_H.htm). Ethnicity was categorized as Hispanic, White, Black, or Other. Body mass index (BMI) was calculated as weight (kg) divided by height squared (m2).Venous blood samples were analyzed for white blood cells (WBC), neutrophils, lymphocytes, monocytes, and red blood cells (RBC) using the Beckman Coulter DXH analyzer. Serum calcium, phosphorus, and 25-hydroxyvitamin D3 were measured using standard biochemical assays. The MLR was calculated as the ratio of monocytes to lymphocytes. Hypertension was defined as self-reported diagnosis, systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of antihypertensive medication. Diabetes was defined as self-reported diagnosis, fasting glucose >7 mmol/L, HbA1c > 6.5%, or use of hypoglycemic agents.
AAC was assessed via dual-energy X-ray absorptiometry (DXA) of the lumbar spine (L1–L4) and scored using the Kauppila method, with scores >6 defined as severe AAC [12–14].
Statistical analysis
Data are presented as mean ± SD or number (proportions). According to the median of MLR, two groups were determined. Differences among different MLR groups were explored by T-test or Mann-Whitney U test and chi-square test. Associations between MLR and the risk of severe AAC were estimated by multivariate logistic models with 95% confidence intervals. Multivariate models included some potential covariates including age, gender, race, body mass index, body mass index, systolic blood pressure, smoking, total calcium, VitD3, and phosphorus. The covariables may be involved in calcium and phosphorus metabolism and tissue calcification, or have a significantly distribution across two groups. The associations between levels of MLR and AAC was evaluated on a continuous scale with restricted cubic spline curve based on the logistic models. We also performed subgroup analyses stratified by gender, age, diabetes status, and hypertension. Data were analyzed using IBM SPSS 25.0. P value <0.05 was considered as statistically significant.
Results
The baseline characteristics of patients are presented in Table 1, stratified by presence of severe AAC. Severe AAC was detected in 273 (9.0%) participants totally. Comparing with those without severe AAC, severe AAC patients were older, have higher level of BMI, systolic BP, WBC, neutrophil, monocyte, phosphorus, MLR, and more likely to have lower diastolic BP, lymphocyte, red blood cell, 25-VitD3.
Table 2 showed baseline characteristics according to MLR median. High MLR (≥0.28) was detected in 1469 (48.3%). In comparison with those with low MLR level, participants with high MLR level tended to be older, female, have higher level of waist circumference, systolic BP, WBC, neutrophil and phosphorus. There was no significant difference in smoker, diabetes mellitus, DBP and calcium (P > 0.05).
Logistic regression models were performed to examine the association between MLR level and severe AAC (Table 3). In model 1, after adjusting for age and sex, MLR was found to be positively associated with higher odds of severe AAC (OR:2.96, 95% confidence intervals [CI]: 1.33–6.59; P = 0.008). This association was not altered after further adjustment for several other covariates in Model 2 and Model 3, including race, body mass index, body mass index, systolic blood pressure, smoking, total calcium, VitD3, and phosphorus. The multivariable-adjusted odds ratios and 95% CIs of the Model 2 and 3 were 2.94 (1.10–7.91) and 2.80 (1.04–7.50) respectively, P < 0.05. What’s more, dose-response analysis revealed a significant nonlinear relation between MLR level and the odds of severe AAC (P = 0.0012; Fig 2).
Black line is multivariable adjusted odds ratios, with shadow area showing 95% confidence intervals derived from restricted cubic spline regressions.
Besides, to examine the consistence of association between MLR and the presence of AAC among subgroups, we performed subgroup analyses. The results were shown in Fig 3. Significant interactions were only found across age.
The boxes represented average OR and whiskers represented 95% confidence intervals of each OR. Age subgroup has interactive effects.
Discussion
This study demonstrated a significant and independent association between elevated MLR and the risk of severe AAC. This relationship remained robust after adjusting for traditional cardiovascular risk factors and mineral metabolism markers. Our findings support the role of systemic inflammation in vascular calcification and identify MLR as a simple, accessible biomarker for AAC risk.
Vascular calcification results from the transformation of vascular smooth muscle cells into osteoblast-like cells, compromising vessel elasticity and increasing cardiovascular risk [15,16]. Although some calcification may stabilize aneurysm growth, severe AAC is associated with higher cardiovascular and fracture risk [17,18].
Prior research has linked inflammatory markers like CRP, NLR, and PLR to vascular disease [19,20]. Our study extends these findings by highlighting MLR as an independent and potentially superior marker. Elevated MLR reflects heightened monocyte-driven inflammation and reduced lymphocyte-mediated regulation, both of which contribute to atherosclerosis and calcification [21]. Compared to other markers, MLR offers practical advantages—it is inexpensive, requires no specialized assays, and can be derived from routine blood tests. Its clinical applicability could be particularly valuable for early screening in high-risk populations.
Some limits exist in our study. The cross-sectional design limits causal inference, and our sample is not fully representative of a multi-ethnic or global population, which may impact generalizability. Additionally, incorporating other inflammatory markers, such as CRP, could provide a more comprehensive understanding of the inflammatory profile associated with AAC. Research could also explore how changes in MLR over time correlate with AAC progression, potentially offering a dynamic indicator of vascular health.
Conclusion
In conclusion, our study underscores MLR as a promising, easily obtainable marker for assessing AAC risk, with potential applications in screening and early intervention for high-risk individuals. Integrating MLR into clinical assessments could enhance AAC management, particularly in older adults and patients with metabolic comorbidities. These findings contribute to a growing recognition of the role of inflammation in vascular calcification and highlight the need for accessible, cost-effective tools in cardiovascular risk stratification.
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