Preprint
Article

This version is not peer-reviewed.

Salivary Nitrate Level and Lipid Profile in Patients with Hypertension: A Cross-Sectional Study in Saudi Sub-Population

A peer-reviewed article of this preprint also exists.

Submitted:

23 October 2024

Posted:

23 October 2024

You are already at the latest version

Abstract
Background: The use of salivary biomarkers offers a non-invasive approach to understanding the metabolic and inflammatory status of hypertensive patients. This study aimed to quantify the salivary nitric oxide (NO), total cholesterol, triglycerides, high-density lipoproteins (HDL), and low-density lipoproteins (LDL) levels in hypertensive individuals and healthy controls in a sub-population in Saudi Arabia. Methods: This cross-sectional study comprised diagnosed hypertensive patients (test group, 40–50 years old) and age-matched healthy controls who visited the dental hospital in the College of Dentistry, King Khalid University, for dental treatment. Nitric oxide, total cholesterol, triglycerides, HDL, and LDL levels in saliva were assessed. An independent sample t-test was used to compare the results between the hypertensive and control groups. Results: The study included 40 hypertensive patients (20 males and 20 females, aged 40-50) and 40 age-matched healthy individuals (20 males and 20 females). Significant differences in the triglyceride (p = 0.007), cholesterol (p = 0.033), and NO (p = 0.014) levels were observed between the two groups. The triglyceride level was significantly correlated with age in the test group (p = 0.04). Conclusion: This study demonstrated significant differences in the nitrate levels and lipid profiles between hypertensive patients and healthy individuals in a sub-population in Saudi Arabia. The findings indicate that saliva can be used as a non-invasive diagnostic tool for assessing nitrate levels and the lipid profile. However, additional studies with larger sample sizes and more precise testing parameters are required to validate the findings.
Keywords: 
;  ;  ;  ;  ;  

1. Introduction

Hypertension or high blood pressure is a prevalent cardiovascular condition associated with increased morbidity and mortality. A recent study, which measured the prevalence of hypertension and progress in 200 countries and territories, reported that the number of people affected by this condition had doubled from 1990 (331 million women and 317 million men) to 2019 (626 million women and 652 million men) [1].
Hypertension is associated with changes in lipid metabolism, leading to abnormal levels of serum lipids and lipoproteins. The increase in cholesterol and low-density lipoproteins (LDL) in the blood is associated with hypertension and its risk factors, such as atherosclerosis. Although cholesterol is required for numerous vital functions in the body, it is known to be involved in various pathological conditions, such as obesity, diabetes, kidney disorders, and hypertension [2]. According to a recent study, patients with hypertension are more likely to have dyslipidemia compared to healthy subjects. Hence, measurements of blood pressure and lipid profile levels, including serum total cholesterol, triglyceride, LDL, and high-density lipoproteins (HDL), at regular intervals are vital [3].
Nitric oxide (NO), a key vasorelaxing agent produced by the vascular endothelium, controls and regulates blood pressure by influencing the vascular tone. It is oxidized to its stable metabolites, nitrate and nitrite ions, under aerobic conditions. Loss of NO production may lead to increased blood pressure, initiating the development of hypertension [4]. Nayak et al. (2016) reported significantly lower plasma NO levels in patients with hypertension than in healthy controls [5].
Studies have reported significant differences in lipid profile values between high-risk hypertensive patients and healthy subjects in both serum and saliva [6,7]. Furthermore, correlations between serum and salivary cholesterol levels have been reported in healthy [8] and hypertensive individuals [9]. Whole saliva is an important physiologic fluid containing a mixture of substances, including blood and serum products [10]. Salivary biomarkers can enhance our understanding of the disease mechanism and help personalize interventions. Evaluating the salivary cholesterol level may help identify individuals with high serum cholesterol levels [8]. One study reported positive correlations between salivary and serum nitric oxide levels among patients with periodontitis and healthy individuals, indicating that the results of a salivary non-invasive examination significantly correlated with those of the serum analysis [11].
Studies on salivary nitrate levels and lipid profiles in hypertensive patients as non-invasive biomarkers are limited. Therefore, this study aimed to quantify the salivary NO, total cholesterol, triglycerides, HDL, and LDL levels in hypertensive individuals and healthy controls in a sub-population in Saudi Arabia. The use of salivary biomarkers offers a non-invasive approach to understanding the metabolic and inflammatory status of hypertensive patients. Understanding the interplay between salivary NO and lipid profiles in hypertensive patients and controls can help in early detection, risk determination, and implementation of management strategies. By exploring these novel biomarkers, we aim to contribute to better dental management in hypertensive patients and follow-up through non-invasive procedures.

2. Materials and Methods

2.1. Study Design

This study employed a cross-sectional design involving diagnosed hypertensive patients and age-matched healthy controls who visited the dental hospital in the College of Dentistry, King Khalid University, for dental treatment. Informed consent for participation in the study was obtained from the patients. The study was conducted according to the guidelines of the Declaration of Helsinki, and Ethical approval for the study was obtained from the scientific research committee at the College of Dentistry, King Khalid University (approval number: IRB/KKUCOD/ETH/2024-25/004).

2.2. Participants

Eighty participants (test group, n = 40; control group, n = 40) aged 40–50 years were included in the study (Table 1). The test group comprised patients diagnosed with essential hypertension who did not use nitrates or statins. Those with severe comorbidities affecting salivary function, diagnosed with other systemic diseases or smokers were excluded. The participants in the two groups were further subdivided based on age: subgroup 1, 40–43 years; subgroup 2, 44–46 years; and subgroup 3, 47–50 years.

2.3. Salivary Sample Collection

Eight-hour fasting salivary samples were collected between 8 and 10 a.m. to avoid the effects of circadian rhythm. Patients were asked to sit in an upright position, and 5 ml of unstimulated whole saliva was collected in a graduated test tube using the spitting method. The salivary samples were centrifuged at 1800 rpm for 20 min to separate the supernatants, which were transferred to sealed and labeled containers (control and test groups). The samples were transported to the laboratory in a Styrofoam box containing ice for storage at -80°C until further use. All the samples were thawed to room temperature prior to analyses of the salivary parameters.

2.4. Salivary Lipid Profile Analysis

The total cholesterol, triglycerides, HDL, and LDL levels were assessed.

2.4.1. Triglycerides

The triglyceride levels were estimated using a kit manufactured by Ensure Diagnostics (catalog number AAG18-2402; Ensure Biotech Pvt. Ltd., Tamil Nadu, India). Clean, dry test tubes were labeled as blank (B), standard (S), and test (T), and 1 ml of triglyceride reagent was added to the tubes with the help of a pipette. Subsequently, 10 µl of distilled water was added to tube B, 10 µl of standard (provided by the manufacturer) was added to tube S (positive control), and 10 µl of saliva sample was added to tube T. The solutions in the tubes were mixed well and incubated at 37ºC for 10 min. The optical density (OD) values of the three tubes were measured at 546 nm, and the amounts of triglycerides were calculated as follows:
TGL = A (T) / A (S) × concentration of the standard (200 mg/dL),
where A stands for the absorbance.

2.4.2. Cholesterol

A similar method was used to measure the cholesterol levels utilizing the kit from Ensure Diagnostics (AAG18-2402; Ensure Biotech Pvt. Ltd.), according to the manufacturer’s instructions. One ml of cholesterol reagent was added to clean dry test tubes labeled as B, S, and T, followed by the addition of 10µl of distilled water to tube B, 10 µl of standard (provided by the manufacturer) to tube S (positive control), and 10 µl of saliva sample to tube T. The solutions were mixed well and incubated at 37ºC for 10 min. The OD values were measured at 505 nm, and calculations were made using the following formula:
Cholesterol concentration (mg/dl) = A (T) /A (S) × concentration of the standard (200 mg/dL)

2.4.3. HDL Levels

The HDL levels were estimated using a kit manufactured by Ensure Diagnostics (catalog number AA45-2403; Ensure Biotech Pvt. Ltd.). One ml of HDL reagent was added to clean dry test tubes labeled as B, S, and T, followed by the addition of 10µl of distilled water to tube B, 10 µl of standard (provided by the manufacturer) to tube S (positive control), and 10 µl of saliva sample to tube T. The solutions were mixed well and incubated at 37ºC for 10 min. The OD values were measured at 620 nm, and calculations were made using the following formula:
HDL (mg/dl) = A (T)/ A (S) × concentration of the standard (40 mg/dL)

2.4.4. LDL Levels

The LDL levels were estimated using a kit manufactured by Praiksha Biotech (catalog number P-LDL(D)-3228; Hyderabad, India). LDL-C R1 reagent (600 µl) from the kit was added to clean dry test tubes labeled as B, calibrator (C), and T, followed by the addition of 8 µl of distilled water to tube B, 8µl to calibrator to tube C, and 8 µl of saliva sample to tube T. The solutions were mixed well and incubated at 37ºC for 5 min. Subsequently, 200 µl of LDL-C R2 reagent was added to all the test tubes. The OD values of the tubes were measured at 546 nm, and calculations were made using the following formula:
LDL (mg/dl) = A (T) /A (C) × concentration of the calibrator (110 mg/dl)

2.4.5. Nitric Oxide

The salivary NO levels were estimated as described previously [12]. The levels were assessed as the nitrate concentration using a commercially available colorimetric assay kit (Nitric Oxide Total Detection Kit #89141-754, Enzo Life Sciences, Inc., Farmingdale, NY, USA), in accordance with the manufacturer’s instructions. The kit is based on the enzymatic conversion of nitrate to nitrite by the enzyme nitrate reductase, followed by the Griess reaction to form a colored azo dye product. Quantification was performed by measuring the absorption at 550 nm. [13]

2.5. Statistical Analysis

The results were evaluated using Statistical Package for the Social Sciences (SPSS, Version 21; Chicago, IL, USA). Descriptive statistics are presented as mean ± the standard deviation. The independent sample t-test was used to compare the test variables between the test and control groups. One-way analysis of variance (ANOVA) and the least significant difference (LSD) post hoc tests were conducted to compare the variables between and among the subgroups based on age. A p-value of <0.05 was considered significant.

3. Results

Forty hypertensive patients (test group; 20 males and 20 females; age, 40–50) and 40 age-matched healthy individuals (control group; 20 males and 20 females) were included in the study. Table 1 shows the descriptive statistics of the salivary variables in the two groups.
The mean triglyceride level in the test group was 79.4 ± 20.71 mg/dL (range, 55–180 mg/dL), while that in the control was 68.85 ± 12.45 mg/dL (range, 50–95 mg/dL). Likewise, the mean cholesterol level in the test group (55.67 ± 7.14 mg/ dL) was higher than that in the control group (52.20 ± 7.19 mg/dL). The HDL and LDL levels were similar in both groups. However, the mean NO level in the test group (127.4 ± 4.46 µmol/L) was lower than that in the controls (156.27 ± 5.69 µmol/L).
As shown in Table 2, the t-test revealed significant differences in triglyceride (p = 0.007), cholesterol (p = 0.033), and NO (p = 0.014) levels between the two groups.
The intervariable Pearson’s test showed a significant correlation between the triglyceride level and age in the test group (p = 0.04; Table 3).
Furthermore, the ANOVA and LSD post hoc analyses revealed a significant difference in triglyceride levels between subgroups (p = 0.034), especially subgroups 1 and 3 (p = 0.015) in the test group (Table 4). However, no significant associations were observed among the variables in the control group (data not shown). Similarly, there was no significant difference observed in males and females in any of the variables assessed.

4. Discussion

This study quantified and compared the salivary NO levels and lipid profiles (total cholesterol, triglycerides, HDL, and LDL) between hypertensive individuals and healthy controls.
Hypertension is a chronic cardiovascular condition that poses a major public health challenge worldwide. A recent systematic review and meta-analysis reported a high prevalence (22.7%) of hypertension, with low awareness, treatment, and control rates among Saudi patients [14]; however, these values were lower than those reported in other neighboring and Western countries. Underlying factors, such as aging, obesity, dyslipidemia, glucose intolerance, and diabetes, have been associated with this condition. Dyslipidaemia is assessed by analyzing the lipid profile in the serum. NO plays a vital role in vascular control, and the predictive value of serum nitrate levels in various conditions, such as ischemia, diabetes, and hypertension, has been reported [5,15,16].
Saliva is produced by several specialized glands in the oral cavity and is frequently used to diagnose diseases. It can be collected in a non-invasive manner, thus reducing the stress for both the patient and the operator. Additionally, it may be considered a cost-effective approach for screening large populations [17].
Similar to previous studies [6,17], significant differences in salivary triglyceride, cholesterol, LDL, and HDL levels were observed between hypertensive patients and healthy individuals in the current study. One study, which assessed the lipid peroxidation and antioxidant levels in type 2 diabetes patients, reported significantly higher malondialdehyde levels in the saliva and serum compared to the control group [10]. Kalburgi et al. reported significant differences in salivary cholesterol and triglyceride levels between those with and without periodontitis [7]. Salivary NO is an important regulator of various physiological and pathological mechanisms in the body, and its levels in the oral cavity are known to be associated with several oral diseases [18,19]. In alignment with the findings reported by Nautiyal et al. [20] and Barbadoro et al. [21], a significant (p = 0.014) difference in salivary NO levels was observed between hypertensive patients (127.4 ± 4.46 µmol/L) and controls (156.27 ± 5.69 µmol/L) in the current study. Taken together, these findings indicate the potential of saliva as a diagnostic fluid to evaluate various systemic conditions.
Serum triglyceride levels <150 mg/dl are considered normal, but they tend to increase with age [22]. A recent reveiew by Spitler et al. reported associations between aging and higher plasma triglyceride levels with decreased clearance in humans and animals [23]. A significant correlation between triglyceride levels and age was observed among the hypertensive patients in the present study; moreover, the levels were significantly different between age groups 40–43 and 47–50 in the same group.
One of the limitations of this study is the absence of comparisons between the serum and salivary nitrate levels and lipid profiles. Nonetheless, correlations between serum and salivary levels and the role of saliva as a non-invasive diagnostic tool for assessing the lipid profile and nitrate levels have been reported previously. A recent study evaluating the use of salivary biomarkers to diagnose cardiovascular disease reported that some biomarkers, such as C-reactive protein, creatine kinase-myocardial band, myoglobin, and troponin I, showed significant promise in diagnosing the condition [24]. The current study is the first to quantify the nitrate and lipid profile levels among hypertensive patients in Saudi Arabia.

5. Conclusions

The results of this study show significant differences in the nitrate levels and lipid profiles between hypertensive patients and healthy individuals in a sub-population in Saudi Arabia. Our findings indicate that saliva can be used as a non-invasive diagnostic tool for assessing the nitrate levels and lipid profile in these patients. However, additional multi-center studies with larger sample sizes and more precise testing parameters are required to validate the findings before replacing the salivary diagnostic tests with conventional tests.

Author Contributions

K.A. contributed to the collection of data. M.S.H. reviewed the manuscript, provided guidance for any necessary corrections, and approved the final manuscript. D.A.A. contributed to the writing of the manuscript. A.M. contributed to the research process. H.A. revised the manuscript structure. S.B. contributed to the revision of the manuscript and correction of any potential errors. All authors have read and agreed to the published version of the manuscript.

Funding

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through a small group Research project under grant number RGP1/86/45.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and Ethical approval for the study was obtained from the scientific research committee at the College of Dentistry, King Khalid University (approval number: IRB/KKUCOD/ETH/2024-25/004).

Informed Consent Statement

Informed consent for participation in the study was obtained from all the patients.

Acknowledgments

The authors would like to thank the nursing staff at College of Dentistry, King Khalid University for their contribution in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, et al. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. The Lancet 2021;398:957–80. [CrossRef]
  2. Lin CJ, Lai CK, Kao MC, Wu LT, Lo UG, Lin LC, et al. Impact of cholesterol on disease progression. Biomedicine (Taipei) 2015;5:1–7. [CrossRef]
  3. Singh, SK. Original Research Relationship between hypertension and serum lipid profile levels. Journal of Advanced Medical and Dental Sciences Research |Vol 2020. [CrossRef]
  4. Bryan, NS. Nitric oxide deficiency is a primary driver of hypertension. Biochem Pharmacol 2022;206:115325. [CrossRef]
  5. Nayak SR, Jena I, Mishra PK, Behera S, Ray S. Evaluation of serum nitric oxide in essential hypertension and its correlation with severity of disease. Asian Journal of Pharmaceutical and Clinical Research 2016;9:179–82. [CrossRef]
  6. Choudhury KN ahar, Mainuddin AKM, Wahiduzzaman M, Islam SM ohammed S. Serum lipid profile and its association with hypertension in Bangladesh. Vasc Health Risk Manag 2014;10:327–32. [CrossRef]
  7. Kalburgi V, Leburu S, Warad S. Saliva as a surrogate to explore the association between lipid profiles and chronic periodontitis: A case-control study. Dent Res J (Isfahan) 2014;11:619.
  8. Karjalainen S, Sewón L, Soderling E, Larsson B, Johansson I, Simell O, et al. Salivary Cholesterol of Healthy Adults in Relation to Serum Cholesterol Concentration and Oral Health. Http://DxDoiOrg/101177/00220345970760100401 1997;76:1637–43. [CrossRef]
  9. Singh V, Patil R, Singh S, Tripathi A, Khanna V, Ali W. Diagnostic significance of serum and salivary lipid levels in oral precancer and oral cancer. Natl J Maxillofac Surg 2021;12:188–92. [CrossRef]
  10. Al-Rawi, NH. Oxidative stress, antioxidant status and lipid profile in the saliva of type 2 diabetics. Diab Vasc Dis Res 2011;8:22–8. [CrossRef]
  11. Mani Sundar N, Krishnan V, Krishnaraj S, Hemalatha VT, Alam MN. Comparison of the Salivary and the Serum Nitric Oxide Levels in Chronic and Aggressive Periodontitis: A Biochemical Study. J Clin Diagn Res 2013;7:1223. [CrossRef]
  12. Sone R, Eda N, Kosaki K, Endo M, Watanabe K. Influence of acute high-intensity exercise on salivary nitric oxide levels. J Oral Sci 2019;61:307–12. [CrossRef]
  13. Singh D, Mishra M, Gupta Monika, Singh Poonam, Gupta A, Nema R. Nitric Oxide radical scavenging assay of bioactive compounds present in methanol Extract of Centella asiatica. International Journal of Pharmacy and Pharmaceutical Science Research 2012;3:42–4.
  14. Alshammari SA, Alshammari AS, Alshammari HS, Ahamed SS. Overview of hypertension in Saudi Arabia. Saudi Med J 2023;44:951–64. [CrossRef]
  15. Yavuz C, Yazici S, Karahan O, Demirtas S, Caliskan A, Guclu O, et al. Serum nitric oxide level could be a predictive biomarker for detection of critical ischaemia duration. Biomarkers 2013;18:116–20. [CrossRef]
  16. Goswami B, Sarkar S, Sengupta S, Bhattacharjee B. Assessment of serum nitric oxide level and its correlation with anthropometric parameters and lipid profile in diabetic patients: A hospital-based study from Tripura. J Family Med Prim Care 2022;11:5161–5. [CrossRef]
  17. Kale K, Iyengar A, Kapila R, Chhabra V. Saliva-A Diagnostic Tool in Assessment of Lipid Profile. Scholars Academic Journal of Biosciences (SAJB 2017;5:574–84. [CrossRef]
  18. Bachtiar EW, Putri AC, Bachtiar BM. Salivary nitric oxide, Simplified Oral Hygiene Index, and salivary flow rate in smokers and non-smokers: a cross-sectional study. F1000Res 2019;8:1744. [CrossRef]
  19. Ambe K, Watanabe H, Takahashi S, Nakagawa T, Sasaki J. Production and physiological role of NO in the oral cavity. Japanese Dental Science Review 2016;52:14–21. [CrossRef]
  20. Prasad Nautiyal M, singh Shodi K, Gupta S, Bhaskar N, Jindal M. Estimation of salivary nitrite in patients having hypertension. Indian Journal of Basic and Applied Medical Research 2018:297–306.
  21. Barbadoro P, Ponzio E, Coccia E, Prospero E, Santarelli A, Rappelli GGL, et al. Association between hypertension, oral microbiome and salivary nitric oxide: A case-control study. Nitric Oxide 2021;106:66–71. [CrossRef]
  22. Kreisberg RA, Kasim S. Cholesterol metabolism and aging. Am J Med 1987;82:54–60. [CrossRef]
  23. Spitler KM, Davies BSJ. Aging and plasma triglyceride metabolism. J Lipid Res 2020;61:1161–7. [CrossRef]
  24. Bahbah EI, Noehammer C, Pulverer W, Jung M, Weinhaeusel A. Salivary biomarkers in cardiovascular disease: An insight into the current evidence. FEBS Journal 2021;288:6392–405. [CrossRef]
Table 1. Descriptive statistics of the salivary variables.
Table 1. Descriptive statistics of the salivary variables.
Salivary Test Variables Control Test
N Minimum Maximum Mean ± SD Minimum Maximum Mean ± SD
TRI (mg/dL) 40 50.0 95.0 68.85 ± 12.45 55 180 79.4 ± 20.71
CHO (mg/dL) 40 36 63 52.20 ± 7.19 38 77 55.67 ± 7.14
HDL (mg/dL) 40 9 18 14.38 ± 2.03 9 17 13.93 ± 2.27
LDL (mg/dL) 40 69 99 81.85 ± 8.16 46 116 84.80 ± 12.51
NO (µmol/L) 40 148 165.8 156.27 ± 5.69 122 140.2 127.4 ± 4.46
N, number; SD, standard deviation; TRI, triglycerides; CHO, cholesterol; HDL, high density lipoproteins, LDL,.low density lipoproteins, NO, nitric oxide.
Table 2. Comparisons of the salivary parameters between the hypertensive and control groups.
Table 2. Comparisons of the salivary parameters between the hypertensive and control groups.
Salivary parameters T Df p-value
TRI -2.76 78 0.007*
CHO -2.17 78 0.033*
HDL .90 78 0.371
LDL -1.22 78 0.225
NO 2.47 78 0.014*
t, independent sample t-test; Df, degrees of freedom; TRI, triglycerides; CHO, cholesterol;.HDL, high density lipoproteins, LDL, low density lipoproteins, NO, nitric oxide. *, p < 0.05.
Table 3. Inter-variable Pearson’s correlation test in the test group.
Table 3. Inter-variable Pearson’s correlation test in the test group.
Age TRI CHO HDL LDL NO
Age Pearson Correlation 1 .326* -.184 -.045 -.131 .033
Sig. (2-tailed) .040* .255 .785 .421 .840
N 40 40 40 40 40 40
TRI Pearson Correlation 1 .008 -.059 .006 -.179
Sig. (2-tailed) .959 .716 .970 .269
N 40 40 40 40 40
CHO Pearson Correlation 1 -.173 .155 .083
Sig. (2-tailed) .285 .339 .610
N 40 40 40 40
HDL Pearson Correlation 1 -.153 -.242
Sig. (2-tailed) .344 .133
N 40 40 40
LDL Pearson Correlation 1 .196
Sig. (2-tailed) .226
N 40 40
NO Pearson Correlation 1
Sig. (2-tailed)
N 40
N, number; TRI, triglycerides; CHO, cholesterol; HDL, high density lipoproteins, LDL, low density lipoproteins, NO, nitric oxide. *, Correlation is significant at the 0.05 level (2-tailed).
Table 4. Comparison of the variables between and among subgroups based on age in the test group.
Table 4. Comparison of the variables between and among subgroups based on age in the test group.
Sum of Squares df Mean Square F Sig. LSD Post Hoc at 95% CI
TRI Between subgroups 2802.431 2 1401.215 3.725 .034* 1.0-3.0 (p = 0.015*)
Within subgroups 13919.169 37 376.194 1.0-2.0 (p = 0.652)
Total 16721.600 39
CHO Between subgroups 61.007 2 30.503 .596 .556 -
Within subgroups 1894.544 37 51.204
Total 1955.551 39
HDL Between subgroups .478 2 .239 .043 .958 -
Within subgroups 203.470 37 5.499
Total 203.948 39
LDL Between subgroups 138.188 2 69.094 .430 .653 -
Within subgroups 5939.052 37 160.515
Total 6077.240 39
NO Between subgroups 41.881 2 20.940 .842 .439 -
Within subgroups 920.270 37 24.872
Total 962.151 39
LSD, least significant difference; Df, degrees of freedom; CI, confidence interval; TRI, triglycerides; CHO, cholesterol; HDL, high density lipoproteins, LDL, low density lipoproteins, NO, nitric oxide. *, Correlation is significant at the 0.05 level (2-tailed).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated