Evaluating Monocyte-to-high-density Lipoprotein Ratio Across Age and Gender in Healthy Individuals
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Original Research
P: 38-43
March 2024

Evaluating Monocyte-to-high-density Lipoprotein Ratio Across Age and Gender in Healthy Individuals

Bagcilar Med Bull 2024;9(1):38-43
1. University of Health Sciences Turkey, Kayseri City Hospital, Clinic of Internal Medicine, Kayseri, Turkey
No information available.
No information available
Received Date: 19.12.2023
Accepted Date: 26.02.2024
Publish Date: 21.03.2024
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ABSTRACT

Objective:

This study aimed to evaluate the monocyte-to-high-density lipoprotein (HDL) ratio (MHR) across age and gender among healthy individuals.

Method:

In this single-center retrospective study, we analyzed patients who visited the Kayseri City Hospital Internal Medicine Clinic within a year, were free from chronic diseases, did not take any medications, and had C-reactive protein levels below 5 mg/L and erythrocyte sedimentation rates below 20 mm/h. Patients were categorized into four age groups: 20-39 years (Group 1), 40-59 years (Group 2), 60-79 years (Group 3), and ≥80 years (Group 4). HDL levels, complete blood count values, and demographic characteristics were recorded for all subjects. MHR was calculated by dividing the monocyte count by the HDL level.

Results:

No significant differences were observed in HDL level, monocyte count, and MHR across age groups (p=0.46, p=0.26, and p=0.37, respectively). However, a significant difference was found in HDL level (53.52±12.44 vs. 43.25±10.96; p<0.001), monocyte count (0.53±0.16 vs. 0.60±0.18; p<0.001), and MHR (10.59±4.07 vs. 15.03±6.62; p<0.001) between gender groups.

Conclusion:

MHR emerged as a biomarker of systemic inflammation, showing no significant variance across age groups among healthy individuals. Nonetheless, gender differences were evident in HDL level, monocyte count, and MHR, possibly attributable to the lower prevalence of cardiovascular diseases in females.

Keywords:
HDL cholesterol, inflammation, MHR, monocyte

Introduction

Many diseases have been associated with aging, primarily attributed to age-related physiological changes. Aging significantly impacts the heart and vascular system, contributing to heightened occurrences of atherosclerosis, hypertension, atrial fibrillation, myocardial infarction, and cerebrovascular events (1). While acute inflammation plays a crucial role in responding to infections and facilitating wound healing, it has become evident that chronic inflammation has deleterious effects on various systems, including the immune system. The rise in the population of aging cells and persistent low-grade inflammation with advancing age actively contribute to the development of age-related pathologies (2).

Monocytes/macrophages are the cell types that play a crucial role in releasing pro-inflammatory cytokines and participating in all stages of the inflammatory process (3). Monocytes constitute 3-8% of all leukocytes in peripheral blood and play a significant role in regulating inflammatory processes (4-7). Research has established a connection between monocytes/macrophages and conditions such as coronary artery disease, cerebrovascular events, and post-ischemic stroke injury, as these cells actively participate in the inflammatory processes associated with these health issues (8-10).

In old age, the prominence of low high-density lipoprotein (HDL) cholesterol, rather than low-density lipoprotein (LDL) cholesterol, continues to stand out as a robust risk predictor. HDL may directly impact the aging process. Conversely, aging can also exert influence on HDL concentration and function. The alteration in HDL cholesterol concentration holds significant clinical relevance. It is estimated that a 1% change in HDL cholesterol can modify the risk of myocardial infarction or mortality by 2-3 times in middle-aged individuals (11).

HDL cholesterol is recognized for diminishing the risk of atherosclerotic events through mechanisms such as reversing HDL transport, averting endothelial dysfunction, and exerting anti-apoptotic, anti-oxidant, anti-inflammatory, and anti-thrombotic effects. Furthermore, HDL assumes an anti-atherogenic role by regulating monocyte activation and precursor monocyte cell proliferation, impeding macrophage migration, preventing LDL oxidation, and safeguarding endothelial cells from inflammation and oxidative stress (12).

Recent years have revealed that MHR can serve as a novel marker for inflammation and oxidative stress. A recent review highlighted MHR as a prognostic marker in cardiovascular diseases (13,14). In this context, MHR can function as a readily assessable metric, indicating the presence and prognosis of inflammatory and inflammation-related disorders (15-17). However, there is no conclusive data on whether MHR exhibits significant changes in the healthy population. Our study aimed to assess MHR based on age and gender in a healthy population.

Introduction

Many diseases have been associated with aging, primarily attributed to age-related physiological changes. Aging significantly impacts the heart and vascular system, contributing to heightened occurrences of atherosclerosis, hypertension, atrial fibrillation, myocardial infarction, and cerebrovascular events (1). While acute inflammation plays a crucial role in responding to infections and facilitating wound healing, it has become evident that chronic inflammation has deleterious effects on various systems, including the immune system. The rise in the population of aging cells and persistent low-grade inflammation with advancing age actively contribute to the development of age-related pathologies (2).

Monocytes/macrophages are the cell types that play a crucial role in releasing pro-inflammatory cytokines and participating in all stages of the inflammatory process (3). Monocytes constitute 3-8% of all leukocytes in peripheral blood and play a significant role in regulating inflammatory processes (4-7). Research has established a connection between monocytes/macrophages and conditions such as coronary artery disease, cerebrovascular events, and post-ischemic stroke injury, as these cells actively participate in the inflammatory processes associated with these health issues (8-10).

In old age, the prominence of low high-density lipoprotein (HDL) cholesterol, rather than low-density lipoprotein (LDL) cholesterol, continues to stand out as a robust risk predictor. HDL may directly impact the aging process. Conversely, aging can also exert influence on HDL concentration and function. The alteration in HDL cholesterol concentration holds significant clinical relevance. It is estimated that a 1% change in HDL cholesterol can modify the risk of myocardial infarction or mortality by 2-3 times in middle-aged individuals (11).

HDL cholesterol is recognized for diminishing the risk of atherosclerotic events through mechanisms such as reversing HDL transport, averting endothelial dysfunction, and exerting anti-apoptotic, anti-oxidant, anti-inflammatory, and anti-thrombotic effects. Furthermore, HDL assumes an anti-atherogenic role by regulating monocyte activation and precursor monocyte cell proliferation, impeding macrophage migration, preventing LDL oxidation, and safeguarding endothelial cells from inflammation and oxidative stress (12).

Recent years have revealed that MHR can serve as a novel marker for inflammation and oxidative stress. A recent review highlighted MHR as a prognostic marker in cardiovascular diseases (13,14). In this context, MHR can function as a readily assessable metric, indicating the presence and prognosis of inflammatory and inflammation-related disorders (15-17). However, there is no conclusive data on whether MHR exhibits significant changes in the healthy population. Our study aimed to assess MHR based on age and gender in a healthy population.

Materials and Methods

Patient Selection

In this retrospective study, we analyzed data from 459 patients without chronic diseases who visited the Internal Medicine Clinic at University of Health Sciences Turkey, Kayseri City Hospital within the past year and had C-reactive protein (CRP) values below 5 mg/dL and erythrocyte sedimentation rate under 20 mm/h. The study adhered to the principles of the Helsinki Declaration and the Patient Rights Act. All eligible patients provided written informed consent, and the study received approval from the Ethics Committee on Clinical Research of Erciyes University (approval #2019/504).

Clinical findings, demographic characteristics, and laboratory data were extracted from the hospital information management system and archives. Biochemical parameters, lipid panel, and peripheral complete blood count were analyzed for all patients. Exclusion criteria encompassed thyroid dysfunction, secondary hypertension, cardiovascular disease, acute and/or chronic infection, autoimmune disease, connective tissue disease, as well as a history of smoking, alcohol consumption, cancer, and the use of medications such as corticosteroids, non-steroidal anti-inflammatory agents, anti-lipid drugs, and immunosuppressive agents.

Patients were categorized into four age groups: 20-39 years (Group 1), 40-59 years (Group 2), 60-79 years (Group 3), and ≥80 years (Group 4). The distribution was as follows: 138 patients in Group 1, 141 patients in Group 2, 128 patients in Group 3, and 52 patients in Group 4. Recorded parameters included total cholesterol, triglyceride, HDL level, complete blood count, erythrocyte sedimentation rates and CRP levels. Non-HDL cholesterol was calculated by subtracting HDL cholesterol from the total cholesterol value. MHR was determined by dividing the monocyte count (µL) by the HDL level (mg/dL).

Statistical Analysis

All statistical analyses were conducted using SPSS version 25.0 (SPSS Inc., Chicago, IL, USA). The normal distribution of data was assessed through the Kolmogorov-Smirnov test. Continuous variables with a normal distribution are expressed as mean ± standard deviation, while categorical variables are presented as percentages and counts. Student’s t-test was employed for binary comparisons of normally distributed data, and One-Way ANOVA was used for comparisons involving more than two groups. Kruskal-Wallis and Mann-Whitney U tests were utilized for data with skewed distribution. A p-value <0.05 was considered statistically significant.

Results

Overall, the analysis included data from 459 patients, with 205 women (44.7%) and 254 men (55.3%). Gender distribution did not show a significant difference across the groups. The mean age was 28.77±6.4 years in Group 1, 49.33±5.65 years in Group 2, 69.43±5.91 years in Group 3, and 86.19±4.69 years in Group 4.

In the study population, the mean HDL was 47.83±12.7, while the mean monocyte count was 0.57±0.17, and the mean MHR was 13.04±6.03. The mean MHR varied across the age groups, with values of 12.56±5.66 in Group 1, 13.55±6.24 in Group 2, 13.33±6.45 in Group 3, and 12.23±5.33 in Group 4. Regarding HDL levels, the mean was 48.33±13.36 in Group 1, 46.67±13.03 in Group 2, 48.93±13.04 in Group 3, and 46.98±8.48 in Group 4. Similarly, the mean monocyte count varied across groups, with values of 0.55±0.17 in Group 1, 0.57±0.16 in Group 2, 0.59±0.18 in Group 3, and 0.55±0.18 in Group 4. Table 1 presents the laboratory values in the patient groups. Significant differences were observed in LDL cholesterol, lymphocyte, platelet, and non-HDL values across groups (p<0.001, p<0.001, p<0.001, p<0.001 and p<0.001, respectively) (Table 1, 2).

Table 1
Table 2

When stratifying patients by gender, the mean age was 51.24±21.77 years among women and 54.3±19.67 years among men. No significant differences were observed in age distribution between women and men (p=0.171). The mean values for cholesterol, LDL, triglyceride, HDL, white blood cell, neutrophil, lymphocyte, monocyte, platelet, hemoglobin, MPV, MHR, and non-HDL were 195.06±41.49, 115.91±35.46, 139.97±83.22, 53.52±12.44, 8.1±8.79, 4.32±1.42, 2.18±0.7, 0.53±0.16, 13.24±1.67, 280.2±67.1, 12.29±1.38, 10.59±4.07, and 141.5±40.58 in women, respectively. In men, the corresponding values were 180.08±39.51, 106.66±34.07, 160.97±98.93, 43.25±10.96, 7.25±1.87, 4.38±1.57, 2.08±0.76, 0.60±0.18, 14.61±1.84, 251±73.8, 10.02±0.86, 15.03±6.62, and 135.32±37.78. Significant differences were observed in cholesterol, LDL, HDL, monocyte, hemoglobin, platelet, MHR, and non-HDL values across groups. (p=0.001, p=0.02, p=0.059, p<0.001, p<0.001, p<0.001, p<0.001 and p<0.001) (Table 3).

Table 3

Discussion

In our study, variances were observed among cholesterol, LDL, lymphocyte, thrombocyte, and non-HDL groups. At the same time, when compared between genders, differences were detected in terms of cholesterol, LDL, HDL, monocyte, hemoglobin, platelet, MHR and non-HDL. HDL and non-HDL levels were significantly higher in females compared to males. Additionally, monocyte values were lower in females. There was no significant change in HDL levels with age, but non-HDL levels were observed to vary with age. Likewise, the MHR rate was found to be higher in males, with no observed change with age.

Age-related changes continue to be a focal point of interest in the research field, driven by the desire to extend healthy lifespan. Aging affects various cell types throughout the body, implying that all tissues may harbor aged cells. The impacts of aging have been demonstrated in numerous cell types, including macrophages and T-cells within the immune system (18-20). Structural stromal cells, such as fibroblasts, exhibit a high degree of aging with advancing age. These aged stromal cells lose the ability to undergo cell division and become resistant to apoptosis (21). The prolonged presence of chronic inflammation is a major contributor to the aging process. In our study, we evaluated MHR, employed as an inflammatory marker in research, based on age and gender in healthy individuals.

The study demonstrated that HDL can inhibit tissue factor expression in monocytes by preventing p38 activation and phosphoinositide 3-kinase (22). HDL exerts an anti-inflammatory effect by preventing pro-inflammatory and pro-oxidant effects on monocytes, as well as inhibiting the transport of vascular cholesterol, macrophage migration, and LDL oxidation in the vessel wall (23). It is believed that MHR can also serve as an inflammation marker, attributed to the pro-inflammatory effect of monocytes and the anti-inflammatory and antioxidant effects of HDL cholesterol (24).

Levels of all lipoproteins, including HDL, are significantly lower at birth compared to adolescence, and these levels increase during childhood. HDL concentrations in men decrease during adolescence and early adulthood, remaining lower than in women thereafter (25). Previous studies have demonstrated that HDL cholesterol decreases in both men and women with advancing age during adulthood (26,27). In postmenopausal women, substantial reductions are observed in HDL cholesterol levels due to hormonal alterations. In our study, no significant difference was detected in HDL levels across groups, possibly because all included patients were healthy individuals. However, HDL values were found to be significantly higher in women than men, consistent with the existing literature (27). Consistent with the study by Ridefelt et al. (28), the estimated non-HDL value exhibited significant changes by age and between genders in our study.

Monocytes are influenced by numerous factors associated with atherosclerosis, including immunostimulant substances, growth factors, cytokines, oxidized lipids, platelet-derived activation products, and eicosanoid proteins (29). Circulating monocytes transition into a pro-coagulant phenotype by expressing tissue factor during inflammatory and pro-thrombotic states. Additionally, monocytes induce the secretion of pro-inflammatory cytokines, contributing to the pathogenesis of many inflammatory diseases (30). As individuals age, inflammation processes are heightened in many cell types that play a role in inflammation, such as monocytes and macrophages (31). In our study, we observed alterations in monocyte values with age, although they did not reach statistical significance. Additionally, we found that monocyte values were higher in the male gender.

Circulating levels of IL-6, CRP, TNF-a, IL-1ß, and other inflammatory cytokines are elevated in elderly individuals, thereby increasing the risk of all-cause mortality (32-34). In elderly individuals, lower levels of inflammatory cytokines in peripheral blood are associated with better health outcomes, longer lifespan, and reduced mortality risk (35). Inflammatory cytokines serve as indicators of chronic inflammation and are implicated in various disease processes, including diabetic complications (36). However, routine clinical use can result in high healthcare costs. Simple, readily available markers, such as MHR, are employed as inflammation markers in many studies. In our study, the aim was to investigate the use of MHR as an inflammation marker by stratifying it with age, but no significant difference was detected between age groups. We attribute this result to the inclusion of healthy adults in our study. MHR was found to be significantly higher among men compared to women. In a study conducted by Liu et al. (37), various inflammatory markers were compared based on age and gender. Similar to our study, no differences were found when compared by age, but significant variations were observed between genders. The observed higher prevalence of cardiovascular diseases caused by atherosclerosis in male patients is in line with these findings (38,39).

Study Limitations

The study’s limitations include its retrospective, cross-sectional, and single-center design. To obtain more comprehensive results on this issue, a multicenter study involving different ethnicities is recommended. Additionally, a prospective study supported by cardiovascular imaging may offer a more accurate understanding of the link to atherosclerosis.

Conclusion

While the MHR can serve as a guide in atherosclerosis and various inflammatory conditions, it has been observed that its utility in evaluating inflammation status does not vary significantly with age. The gender differences in MHR can be attributed to the lower risk of cardiovascular events in the general population among females.

Ethics

Ethics Committee Approval: The study received approval from the Ethics Committee on Clinical Research of Erciyes University (approval #2019/504).

Informed Consent: All eligible patients provided written informed consent.

Financial Disclosure: The author declared that this study received no financial support.

References

1
Lakatta EG, Levy D. Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: Part I: aging arteries: a “set up” for vascular disease. Circulation 2003;107(1):139-146.
2
Rohrer L, Hersberger M, von Eckardstein A. High density lipoproteins in the intersection of diabetes mellitus, inflammation and cardiovascular disease. Curr Opin Lipidol 2004;15(3):269-278.
3
Hansson GK, Libby P, Schönbeck U, Yan Z-Q. Innate and adaptive immunity in the pathogenesis of atherosclerosis. Circ Res 2002;91(4):281-291.
4
Hessler JR, Robertson ALJ, Chisolm GM. LDL-induced cytotoxicity and its inhibition by HDL in human vascular smooth muscle and endothelial cells in culture. Atherosclerosis 1979;32(3):213-229.
5
Zhao S, Yu S, Chi C, Fan X, Tang J, Ji H, et al. Association between macro- and microvascular damage and the triglyceride glucose index in community-dwelling elderly individuals: the Northern Shanghai Study. Cardiovasc Diabetol 2019;18(1):95.
6
Li XP, Zhao SP, Zhang XY, Liu L, Gao M, Zhou QC. Protective effect of high density lipoprotein on endothelium-dependent vasodilatation. Int J Cardiol 2000;73(3):231-236.
7
Parthasarathy S, Barnett J, Fong LG. High-density lipoprotein inhibits the oxidative modification of low-density lipoprotein. Biochim Biophys Acta 1990;1044(2):275-283.
8
Hilgendorf I, Swirski FK, Robbins CS. Monocyte fate in atherosclerosis. Arterioscler Thromb Vasc Biol 2015;35(2):272-279.
9
Weber C, Shantsila E, Hristov M, Caligiuri G, Guzik T, Heine GH, et al. Role and analysis of monocyte subsets in cardiovascular disease. Joint consensus document of the European Society of Cardiology (ESC) Working Groups “Atherosclerosis & Vascular Biology” and “Thrombosis”. Thromb Haemost 2016;116(4):626-637.
10
Kim E, Yang J, Beltran CD, Cho S. Role of spleen-derived monocytes/macrophages in acute ischemic brain injury. J Cereb blood flow 2014;34(8):1411-1419.
11
Gordon DJ, Probstfield JL, Garrison RJ, Neaton JD, Castelli WP, Knoke JD, et al. High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies. Circulation 1989;79(1):8-15.
12
Berrougui H, Momo CN, Khalil A. Health benefits of high-density lipoproteins in preventing cardiovascular diseases. J Clin Lipidol 2012;6(6):524-533.
13
You S, Zhong C, Zheng D, Xu J, Zhang X, Liu H, et al. Monocyte to HDL cholesterol ratio is associated with discharge and 3-month outcome in patients with acute intracerebral hemorrhage. J Neurol Sci 2017;372:157-161.
14
Ganjali S, Gotto AMJ, Ruscica M, Atkin SL, Butler AE, Banach M, et al. Monocyte-to-HDL-cholesterol ratio as a prognostic marker in cardiovascular diseases. J Cell Physiol 2018;233(12):9237-9246.
15
Eagleton MJ, Henke PK, Luke CE, Hawley AE, Bedi A, Knipp BS, et al. Southern Association for Vascular Surgery William J. von Leibig Award. Inflammation and intimal hyperplasia associated with experimental pulmonary embolism. J Vasc Surg 2002;36(3):581-588.
16
Kayrak M, Erdoğan HI, Solak Y, Akilli H, Gül EE, Yildirim O, et al. Prognostic value of neutrophil to lymphocyte ratio in patients with acute pulmonary embolism: a restrospective study. Heart Lung Circ 2014;23(1):56-62.
17
Canpolat U, Çetin EH, Cetin S, Aydin S, Akboga MK, Yayla C, et al. Association of Monocyte-to-HDL Cholesterol Ratio with Slow Coronary Flow is Linked to Systemic Inflammation. Clin Appl Thromb Off J Int Acad Clin Appl Thromb 2016;22(5):476-482.
18
Pereira BI, Devine OP, Vukmanovic-Stejic M, Chambers ES, Subramanian P, Patel N, et al. Senescent cells evade immune clearance via HLA-E-mediated NK and CD8(+) T cell inhibition. Nat Commun 2019;10(1):2387.
19
Chen H, Ma F, Hu X, Jin T, Xiong C, Teng X. Elevated COX2 expression and PGE2 production by downregulation of RXRα in senescent macrophages. Biochem Biophys Res Commun 2013;440(1):157-162.
20
Di Mitri D, Azevedo RI, Henson SM, Libri V, Riddell NE, Macaulay R, et al. Reversible senescence in human CD4+CD45RA+CD27- memory T cells. J Immunol 2011;187(5):2093-2100.
21
Childs BG, Baker DJ, Kirkland JL, Campisi J, van Deursen JM. Senescence and apoptosis: dueling or complementary cell fates? EMBO Rep 2014;15(11):1139-1153.
22
Ossoli A, Remaley AT, Vaisman B, Calabresi L, Gomaraschi M. Plasma-derived and synthetic high-density lipoprotein inhibit tissue factor in endothelial cells and monocytes. Biochem J 2016;473(2):211-219.
23
Usta A, Avci E, Bulbul CB, Kadi H, Adali E. The monocyte counts to HDL cholesterol ratio in obese and lean patients with polycystic ovary syndrome. Reprod Biol Endocrinol 2018;16(1):34.
24
Negi G, Kumar A, Joshi RP, Sharma SS. Oxidative stress and Nrf2 in the pathophysiology of diabetic neuropathy: old perspective with a new angle. Biochem Biophys Res Commun 2011;408(1):1-5.
25
Kreisberg RA, Kasim S. Cholesterol metabolism and aging. Am J Med 1987;82(1B):54-60.
26
Wilson PW, Anderson KM, Harris T, Kannel WB, Castelli WP. Determinants of change in total cholesterol and HDL-C with age: the Framingham Study. J Gerontol 1994;49(6):M252-M257.
27
Ferrara A, Barrett-Connor E, Shan J. Total, LDL, and HDL cholesterol decrease with age in older men and women. The Rancho Bernardo Study 1984-1994. Circulation 1997;96(1):37-43.
28
Ridefelt P, Hagström E, Svensson MK, Åkerfeldt T, Larsson A. Age- and sex-specific reference values for non-HDL cholesterol and remnant cholesterol derived from the Nordic Reference Interval Project (NORIP). Scand J Clin Lab Invest 2019;79:39-42.
29
Gordon S, Martinez FO. Alternative activation of macrophages: mechanism and functions. Immunity 2010;32(5):593-604.
30
De Maeyer RPH, van de Merwe RC, Louie R, Bracken O V, Devine OP, Goldstein DR, et al. Blocking elevated p38 MAPK restores efferocytosis and inflammatory resolution in the elderly. Nat Immunol 2020;21(6):615-625.
31
De Maeyer RPH, Chambers ES. The impact of ageing on monocytes and macrophages. Immunol Lett 2021;230:1-10.
32
Harris TB, Ferrucci L, Tracy RP, Corti MC, Wacholder S, Ettinger WHJ, et al. Associations of elevated interleukin-6 and C-reactive protein levels with mortality in the elderly. Am J Med 1999;106(5):506-512.
33
Furman D, Chang J, Lartigue L, Bolen CR, Haddad F, Gaudilliere B, et al. Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological states. Nat Med 2017;23(2):174-184.
34
Bruunsgaard H, Ladelund S, Pedersen AN, Schroll M, Jørgensen T, Pedersen BK. Predicting death from tumour necrosis factor-alpha and interleukin-6 in 80-year-old people. Clin Exp Immunol 2003;132(1):24-31.
35
Clee SM, Kastelein JJ, van Dam M, Marcil M, Roomp K, Zwarts KY, et al. Age and residual cholesterol efflux affect HDL cholesterol levels and coronary artery disease in ABCA1 heterozygotes. J Clin Invest 2000;106(10):1263-1270.
36
Nandy D, Janardhanan R, Mukhopadhyay D, Basu A. Effect of hyperglycemia on human monocyte activation. J Investig Med Off Publ Am Fed Clin Res 2011;59(4):661-667.
37
Liu Q, Xu A, Hang H, Chen X, Dai Y, Wang M, et al. Establishment of Reference Intervals for SII, NLR, PLR, and LMR in Healthy Adults in Jiangsu Region in Eastern China. Clin Lab 2023;69(5).
38
Man JJ, Beckman JA, Jaffe IZ. Sex as a Biological Variable in Atherosclerosis. Circ Res 2020;126(9):1297-1319.
39
Mathur P, Ostadal B, Romeo F, Mehta JL. Gender-Related Differences in Atherosclerosis. Cardiovasc Drugs Ther 2015;29(4):319-327.