Next Article in Journal
Is the Habitual Dietary Intake of Foods of Plant or Animal Origin Associated with Circulating Hemostatic Factors?—Results of the Population-Based KORA-Fit Study
Next Article in Special Issue
The Role of Acyl-CoA Synthetase 1 in Bioactive Lipid Accumulation and the Development of Hepatic Insulin Resistance
Previous Article in Journal
Theory of Food: Unravelling the Lifelong Impact of Childhood Dietary Habits on Adult Food Preferences across Different Diet Groups
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 16
Issue 3
10.3390/nu16030430
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Egg Consumption on Subjects with SLD or Hypertension: A MICOL Study

by
Rossella Tatoli
1,
Caterina Bonfiglio
1,
Francesco Cuccaro
2,
Angelo Campanella
1,
Sergio Coletta
1,
Pasqua Letizia Pesole
1,
Gianluigi Giannelli
1,† and
Rossella Donghia
1,*,†
1
National Institute of Gastroenterology—IRCCS “Saverio de Bellis”, 70013 Castellana Grotte, Italy
2
Local Health Unit—Barletta-Andria-Trani, 76121 Barletta, Italy
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2024, 16(3), 430; https://doi.org/10.3390/nu16030430
Submission received: 29 December 2023 / Revised: 29 January 2024 / Accepted: 30 January 2024 / Published: 31 January 2024
(This article belongs to the Special Issue Nutrition in the Liver Damage)
Browse Figure
Versions Notes

Abstract

:
Background: Steatotic liver disease (SLD) is defined as a fat accumulation in more than 5% of hepatocytes; it can progress to non-alcoholic steatohepatitis (NASH), associated with an increased state of inflammation. The aim of this study was to explore the protective effects of eating eggs and any association with SLD and hypertension (HTN). Methods: The study cohort included 908 participants assessed in the fourth recall of the MICOL study, grouped into four groups, based on NALFD and/or HTN. Results: The prevalence of HTN and SLD among participants was 31.61%. Overall, the results indicated a statistical significance of egg consumption, showing a protective role against the two disease conditions, in both the raw and adjusted models (RRR = 0.34, p = 0.009, 0.15 to 0.76 95% C.I.). Conclusions: Many differences were found among the groups, and the protective role of eating eggs was amply demonstrated. We can conclude that it is unwise to demonize the intake of this food and its nutritional properties, in contrast with previous reports in the literature.
Keywords:
SLD; HTN; diet; eggs

1. Introduction

Steatotic liver disease (SLD) is defined as a fat accumulation in more than 5% of hepatocytes, in the absence of significant alcohol consumption (30 g per day for men and 20 g per day for women) or other chronic liver diseases [1]. In this condition, hepatocytes present a ballooning appearance; this lesion is characteristic of SLD [1]. The overlap of some risk factors or injuries to the liver may promote the progression to non-alcoholic steatohepatitis (NASH), in which the steatosis is associated with a state of necroinflammation and fast fibrosis progression, unlike in SLD [1].
The increasing prevalence of SLD has made it a significant public health problem worldwide [2]. It is the primary cause of chronic liver disease in Europe [3] and affects 44% of inhabitants of Western countries [4].
SLD is known to be strongly linked to metabolic syndrome and can be considered the hepatic manifestation [5]. The increasing prevalence of metabolic syndrome and its related conditions, such as insulin resistance, hypertension (HTN), and dyslipidemia, predispose many people to the risk of developing SLD [6].
Together with SLD, HTN is another important health problem because it is one of the major causes of cardiovascular disease [7]. Among cardiovascular diseases, HTN is one of the main risk factors predisposing to fatal complications [8], and HTN diagnoses were estimated to increase by about 60% between 2000 and 2025 [9].
Diet and eating habits play a central role in the prevention and management of both SLD and HTN. They are considered modifiable risk factors for the development of HTN [10] and the only recommended treatment for SLD [11].
Dietary components can influence the pathophysiology of diseases [12,13,14,15]. Special attention should be paid to dietary cholesterol, which is a modifiable risk factor for HTN [16], while the role of this dietary component concerning the risk and progression of SLD is still controversial [17,18].
Eggs are one of the most important dietary sources of cholesterol, present in the egg yolk at 180–225 mg per egg [19]. Many societies and organizations recommend limiting egg consumption to avoid raising circulating cholesterol levels [20]. The American Heart Association recommends reducing egg intake unless other sources of dietary cholesterol are limited [21].
The high cholesterol content (an average egg provides about 70% of the recommended daily value) has led to eggs often being demonized, despite their being rich in other nutrients that can provide beneficial effects to human health. They are a good source of minerals, vitamins, proteins, and unsaturated fatty acids [22,23,24,25].
Very few studies have analyzed the relationship between egg consumption and the risk of diseases, in particular SLD, and the results are inconsistent [26,27].
The present study aims to investigate the effect of egg consumption on the risk of developing steatosis, HTN, or both conditions in an older Southern Italian population.

2. Materials and Methods

2.1. Study Design and Population

This cross-sectional study involved 980 subjects aged over 60 years. The study sample is a sub-sample from the Multicenter Italian study on Cholelithiasis (MICOL). MICOL recruitment started in 2017 among subjects listed on the electoral register of Castellana Grotte, Southern Italy. The present study is based on data from MICOL IV, a recall of MICOL III patients [28]. The methodological details of this population-based study have been described elsewhere [29,30]. All participants provided informed consent before the examination. The study was approved in line with the ethical standards of the institutional research committee of the National Institute of Gastroenterology and Research Hospital “S. de Bellis” in Castellana Grotte, Italy (DDG-CE 782/2013. The date of approval was Prot. n.144/C.E. of 15/04/2019). The IRB of the head institution, the National Institute of Gastroenterology and Research Hospital “S. de Bellis” in Castellana Grotte, Italy, approved the study. The study was conducted in accordance with the Helsinki Declaration of 1975 and adhered to the “Standards for Reporting Diagnostic Accuracy Studies” (STARD) guidelines (http://www.stard-statement.org/ Accessed on 5 October 2019). The manuscript is organized according to the “Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology” (STROBE-nut) guidelines https://www.strobe-nut.org/ Accessed on 5 October 2019).
Our study sample was divided into four categories: No Steatosis and No HTN (a); No Steatosis and Yes HTN (b); Yes Steatosis and No HTN (c); Yes Steatosis and Yes HTN (d). Steatosis was detected with a standardized ultrasound examination [31], while HTN was defined according to specific guidelines [32].

2.2. Lifestyle, Clinical and Dietary Assessment

Lifestyle and anthropometric assessments were evaluated by a physician during an examination at the study center. Smoking status was assessed with the single question, “Are you a current smoker?”. The level of education was expressed as years of schooling.
Body mass index (BMI) was calculated as kg/m2. Height and weight measurements were performed using a Seca 220 stadiometer and a Seca 711 scale.
Blood was collected from the subjects the morning after an overnight fast. The serum was separated into aliquots. One aliquot was immediately stored at −80 °C. The second aliquot was used to test serum biochemical markers by standard laboratory techniques in our laboratory. Other aliquots were stored for use as necessary. Diet and eating habits were investigated with a validated food frequency questionnaire, administered during the visit, and each food (86 validated foods) was converted to mean daily intake in grams [33].

2.3. Statistical Analysis

Patient characteristics are reported as mean and standard deviation (M ± SD) for continuous variables, and as frequency and percentages (%) for categorical variables. To test the association between the independent groups (SLD (No)/HTN (No), SLD (No)/HTN (Yes), SLD (Yes)/HTN (No), and SLD (Yes)/HTN (Yes)), a Chi-square test was used for categorical variables, while the Kruskal–Wallis equality rank test was used to compare more than two independent groups. Dunn’s test and the proportion test were performed for multiple pairwise comparisons.
We estimated a multiple multinomial logistic regression model using the four-category outcome variable described above as the dependent variable and egg consumption (both continuous and categorical) determinants as predictors. The models were also adjusted for some covariates (Model 1—for age and gender; Model 2—for age, gender, and daily kcal intake), and estimated coefficients were transformed to relative-risk ratios (RRR).
To test the null hypothesis of non-association, the two-tailed probability level was set at 0.05. The analyses were conducted with StataCorp (2023. Stata Statistical Software: Release 18. College Station, TX, USA: StataCorp LLC.), while RStudio (“Prairie Trillium” Release) was used for the plots.

3. Results

Cohort characteristics stratified by the disease group combinations are shown in Table 1.
Males are more prevalent in the SLD and no-HTN group compared to both the healthy group (60.29% vs. 49.15%, p = 0.019) and the HTN-only group (60.29% vs. 50.00%, p = 0.04). The mean age is higher in the diseased group than in both the healthy group (69.24 ± 8.44 vs. 61.34 ± 12.16, p < 0.0001) and the SLD-only group (69.24 ± 8.44 vs. 61.72 ± 10.35, p < 0.0001). The same applies for the HTN-only group compared to the healthy group (70.54 ± 9.33 vs. 61.34 ± 12.16, p < 0.0001), while there was a statistically significant number of younger subjects in the NALFD-only group compared to the HTN-only group (61.72 ± 10.35 vs. 70.54 ± 9.33, p < 0.0001).
The level of education was statistically significantly associated with the disease conditions in all multiple comparisons with the exception of the group with both disease conditions versus HTN-only subjects. BMI was lower in healthy subjects and was statistically higher values in the groups with the disease conditions, and the highest value was found in the group with both (31.56 ± 5.39). The same trend was also observed for diabetes and metabolic syndrome. Diabetes was more prevalent in the group of patients with both conditions, showing a prevalence of 22.65%, except in comparison with subjects with SLD and with only HTN (8.13% vs. 13.64%, p = 0.08). Subjects with metabolic syndrome were less prevalent in the group with neither disease condition, to a statistically significant degree (p < 0.005), with the exception of the NALFD vs. HTN groups (40.19% vs. 43.75, p = 0.48). As shown in Supplementary Table S1, blood test results showed higher glucose concentrations in the group with both conditions than in the other groups, while HDL tended toward a statistically significant decrease (p < 0.0001).
Hematocrit (HCT), mean corpuscular volume (MCV), white blood cells (WBCs), neutrophils, hemoglobin A1c (HbA1c), gamma-glutamyl transferase (GGT), and C-reactive protein (CRP) tended toward a statistically significant increase in the last group, both in general and in multiple comparisons.
The other parameters showed no defined trend, even if the variations were significant, and even in multiple comparisons.
Figure 1 and Table 2 illustrate egg consumption both as grams/day and as the number of eggs per week.
There was a significant difference between the groups in terms of daily consumption (p = 0.0001) which was also reflected in multiple comparisons, where the greatest consumption was in healthy subjects without either disease, followed by those affected by SLD; weekly intake was also statistically significantly different (p = 0.004).
The relative nutrients, fatty acids, and amino acid intake is reported in Supplementary Table S2.
The multinomial logistic regression models are reported in Table 3.
Egg intake (g/die) showed a protective role in subjects with only HTN (RRR = 0.95, p < 0001, 0.93 to 0.98 C.I. 95%) and with SLD (RRR = 0.96, p = 0.001, 0.94 to 0.98 C.I. 95%), and a consumption > 3 (week) was more protective for these groups (RRR = 0.21, p = 0.005, 0.07 to 0.62 C.I. 95%, and RRR = 0.34, p = 0.006, 0.15 to 0.73 C.I. 95%, respectively) in the unadjusted model. The positive association was confirmed in the models adjusted for covariates.

4. Discussion

The present study shows a positive effect of egg consumption in an older population living in the Southern Mediterranean area. Our analyses revealed a protective power of eggs, which increases with dietary consumption. This relationship was also significant after adjustment for age, gender, and daily kcal intake.
In the scientific literature, data on the link between eggs consumption and SLD are few, inconsistent, and controversial.
Some previous studies associated egg consumption with an increased risk of NALFD [30]. In these, the positive link between egg consumption and SLD was explained by the high cholesterol content of eggs [34,35].
Some studies have shown that a higher cholesterol consumption is associated with SLD and its exacerbation to NASH [35,36]. Baumgartner et al. [26] has shown that daily egg consumption increases serum cholesterol and LDL-C concentrations in women [37] On the contrary, some randomized controlled trials observed that egg intake did not substantially change plasma TC, low-density lipoprotein cholesterol (LDL-C), HDL-C levels [38,39] or the TC/HDL-C ratio [39,40].
Therefore, reducing egg consumption as a single food may not be so important for reducing the risk of disease. In our opinion, it is more important to frame egg consumption within the individual’s eating habits. Egg preparation methods and concurrent consumption of other foods (e.g., bacon vs. vegetables) may partly account for the differences. Dietary fiber is known to reduce the intestinal absorption of cholesterol [41,42]. For this reason, consuming a dish with mixed vegetables and eggs has a different effect on serum cholesterol concentrations than a low-fiber dish such as eggs and bacon. Mokhtari et al. [26] used this argument to explain how consumption of more than four eggs per week was not significantly associated with the risk of SLD [43]. Our study population is linked to food traditions within the Mediterranean dietary pattern. They have healthy eating habits, and vegetables are a constant in their diet. The cooking methods used are simple, healthy, and without added fat [40]. For example, the preparation of vegetable timbale, a dish made of eggs and vegetables (zucchini, mushrooms, spinach, etc.), baked in the oven or in a non-stick pan without adding fat, is extremely frequent in our study population’s diet. Genetic factors also appear to affect cholesterol absorption [44]. Homeostatic control of cholesterol absorption adapts to dietary cholesterol intake, decreasing the amount of cholesterol absorbed at higher dietary intake levels and downregulating endogenous cholesterol synthesis [45,46]. Cholesterol aside, eggs are nutritionally an excellent source of beneficial nutrients. Eggs provide high biological value protein, monounsaturated and polyunsaturated fatty acids, arginine—a precursor to nitric oxide, carotenoids, minerals, and vitamins [47,48].
A current topic of interest is the effect of methyl donor food deficiency, including VIT B12 and folic acid, on the development of SLD [49]. A recent randomized, double-blind controlled trial evaluated the effects of vitamin B12 supplementation on serum liver enzymes, the degree of hepatic steatosis, and metabolic profiles in patients with SLD [50]. A reduction in the steatosis score and liver enzymes, especially ALT, was observed in the VIT B12-treated group. In another study, patients with liver steatosis had lower VIT B12 levels than healthy subjects [51]. A study conducted in rats suggested that the supplementation of folates and VIT B12 could improve obesogenic diet-induced hepatic triglyceride accumulation [52].
Chicken eggs have a non-negligible content of folates and VIT B12 [www.bda-ieo.it. (accessed on 9 November 2023)]. This could explain the protective effect of regular, moderate consumption.
A protective role of eggs has also been found in HTN [53]. Previous studies considered peptides with antihypertensive properties that can stimulate the release of nitric oxide and prostacyclins and inhibit angiotensin-converting enzyme (ACE) activity and endothelium-dependent vasodilatory activity [53]. However, despite the number of studies already published, more well-designed prospective cohort studies are needed to further examine and support this finding [53].

5. Conclusions

In conclusion, the results from our study show a protective role of eggs both against HTN only and associated with SLD. In the study population, the risk of developing these pathological conditions decreased linearly with increased egg consumption (consumption of >3 eggs per week).
In our view, it is unwise to demonize a nutritionally noble food like eggs. It is necessary to inform people about the wise consumption of eggs in order to take full advantage of their nutritional properties. However, further studies are needed to support our results and also to define egg consumption in populations other than those living in Mediterranean areas.

Strengths and Limitations

Among the strengths of the present study are the ample cohort and the generalizability of the results to populations of the Southern Mediterranean. To the best of our knowledge, the scientific literature lacks data and consistent results on the link between egg consumption and SLD. There are currently few studies evaluating this topic, and none were conducted on an older Mediterranean population.
Another important strength is the FFQ, which is the dietary assessment method most commonly used to study diet and eating habits. The FFQ is very complete and detailed, allowing us to obtain all the necessary information about the eating habits of our study population.
However, there are also some limitations. The main one is the nature of the study, which, being cross-sectional, does not clarify the directionality of an association. In addition, the present study only considered the effect of whole-egg consumption; it would be interesting to study the effect of the separate consumption of egg whites and yolks.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu16030430/s1, Table S1: Blood characteristics of patients with SLD or HTN; Table S2: Nutrients (mg/die) eggs intake by disease condition.

Author Contributions

Conceptualization, R.D. and R.T.; methodology, R.D.; software, R.D. and C.B.; validation, G.G.; formal analysis, R.D.; investigation, P.L.P., S.C. and C.B.; resources, G.G.; data curation, R.D. and C.B.; writing—original draft preparation, R.D. and R.T.; writing—review and editing, R.D. and R.T.; visualization, G.G., A.C. and F.C.; supervision, A.C. and F.C.; project administration, R.D.; funding acquisition, G.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of Health with Ricerca Corrente, 2023.

Institutional Review Board Statement

The study was approved in line with the ethical standards of the institutional research committee of the National Institute of Gastroenterology and Research Hospital “S. de Bellis” in Castellana Grotte, Italy (DDG-CE 782/2013. The date of approval was Prot. n.144/C.E. of 15 April 2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors are grateful to Mary V.C. Pragnell, B.A., for English revision.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Powell, E.E.; Wong, V.W.S.; Rinella, M. Non-alcoholic fatty liver disease. Lancet 2021, 397, 2212–2224. [Google Scholar] [CrossRef] [PubMed]
  2. Younossi, Z.; Anstee, Q.M.; Marietti, M.; Hardy, T.; Henry, L.; Eslam, M.; Geroge, J.; Bugianesi, E. Global burden of NAFLD and NASH: Trends, predictions, risk factors and prevention. Nat. Rev. Gastroenterol. Hepatol. 2018, 15, 11–20. [Google Scholar] [CrossRef] [PubMed]
  3. Obesity epidemic results in Non-Alcoholic Fatty Liver Disease (NAFLD) becoming the most common cause of liver disease in Europe. EASL-The Home of Hepatology. Available online: https://www.ansa.it/pressrelease/english/2019/09/26/obesity-epidemic-results-in-non-alcoholic-fatty-liver-disease-nafld-becoming-the-most-common-cause_510e3913-3e9c-4d6a-bdd9-3edfec16c102.html (accessed on 5 October 2019).
  4. Masarone, M.; Federico, A.; Abenavoli, L.; Loguercio, C.; Persico, M. Non alcoholic fatty liver: Epidemiology and natural history. Rev. Recent. Clin. Trials 2014, 9, 126–133. [Google Scholar] [CrossRef] [PubMed]
  5. Marchesini, G.; Brizi, M.; Bianchi, G.; Tomassetti, S.; Bugianesi, E.; Lenzi, M.; McCullough, A.J.; Natale, S.; Forlani, G.; Melchionda, N. Nonalcoholic fatty liver disease: A feature of the metabolic syndrome. Diabetes 2001, 50, 1844–1850. [Google Scholar] [CrossRef] [PubMed]
  6. Marchesini, G.; Bugianesi, E.; Forlani, G.; Cerrelli, F.; Lenzi, M.M.; Manini, R.; Natale, S.; Vanni, E.; Villanova, N.; Melchionda, N.; et al. Nonalcoholic fatty liver, steatohepatitis, and the metabolic syndrome. Hepatology 2003, 37, 917–923. [Google Scholar] [CrossRef] [PubMed]
  7. Lewington, S.; Clarke, R.; Quzilbash, N.; Peto, R.; Collins, R. Prospective Studies Collaboration. Lancet 2002, 360, 1903–1913. [Google Scholar]
  8. Franco, C.; Sciatti, E.; Favero, G.; Bonomini, F.; Vizzardi, E.; Rezzani, R. Essential Hypertension and oxidative stress: Novel future perspectives. Int. J. Mol. Sci. 2022, 23, 14489. [Google Scholar] [CrossRef]
  9. Kearney, P.M.; Whelton, M.; Reynolds, K.; Muntner, P.; Whelton, P.K.; He, J. Global burden of hypertension: Analysis of worldwide data. Lancet 2005, 365, 217–223. [Google Scholar] [CrossRef]
  10. Kim, G.H.; Shin, S.W.; Lee, J.; Hwang, J.H.; Park, S.W.; Moon, J.S.; Kim, H.J.; Ahn, H.S. Red meat and chicken consumption and its association with high blood pressure and obesity in South Korean children and adolescents: A cross-sectional analysis of KSHES, 2011–2015. Nutr. J. 2017, 16, 31. [Google Scholar] [CrossRef] [PubMed]
  11. Lampignano, L.; Tatoli, R.; Donghia, R.; Bortone, I.; Castellana, F.; Zupo, R.; Lozupone, M.; Panza, F.; Conte, C.; Sardone, R. Nutritional patterns as machine learning predictors of liver health in a population of elderly subjects. Nutr. Metab. Cardiovasc. Dis. 2023, 33, 2233–2241. [Google Scholar] [CrossRef] [PubMed]
  12. Papandreou, D.; Andreou, E. Role of diet on non-alcoholic fatty liver disease: An updated narrative review. World J. Hepatol. 2015, 7, 575–582. [Google Scholar] [CrossRef]
  13. Nseir, W.; Nassar, F.; Assy, N. Soft drinks consumption and nonalcoholic fatty liver disease. World J. Gastroenterol. 2010, 16, 2579–2588. [Google Scholar] [CrossRef]
  14. Zelber-Sagi, S.; Godos, J.; Salomone, F. Lifestyle changes for the treatment of nonalcoholic fatty liver disease: A review of observational studies and intervention trials. Therap Adv. Gastroenterol. 2016, 9, 392–407. [Google Scholar] [CrossRef]
  15. Souza, G.H.D.P.E.; Silva, L.D.; Vieira, D.A.; Rocha, G.A.; Lima, A.S.; Vidigal, P.V.T. High-density lipoprotein cholesterol and systemic arterial hypertension are associated with hepatic necroinflammatory activity in patients with chronic hepatitis C. Arq. Gastroenterol. 2023, 60, 287–299. [Google Scholar] [CrossRef]
  16. Enjoji, M.; Yasutake, K.; Kohjima, M.; Nakamuta, M. Nutrition and nonalcoholic Fatty liver disease: The significance of cholesterol. Int. J. Hepatol. 2012, 2012, 925807. [Google Scholar] [CrossRef]
  17. Kerr, T.A.; Davidson, N.O. Cholesterol and nonalcoholic fatty liver disease: Renewed focus on an old villain. Hepatology 2012, 56, 1995–1998. [Google Scholar] [CrossRef]
  18. Song, W.O.; Kerver, J.M. Nutritional contribution of eggs to American diets. J. Am. Coll. Nutr. 2000, 19, 556S–562S. [Google Scholar] [CrossRef] [PubMed]
  19. Expert Panel on Detection, Evaluation, and Treatment of hight Blood Cholesterol in Alduts. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 2001, 285, 2486–2497. [Google Scholar] [CrossRef] [PubMed]
  20. Clayton, Z.S.; Fusco, E.; Kern, M. Egg consumption and heart health: A review. Nutrition 2017, 37, 79–85. [Google Scholar] [CrossRef]
  21. Han, J.M.; Jo, A.N.; Lee, S.M.; Bae, H.S.B.; Jun, D.W.; Cho, Y.K.; Suk, K.T.; Yoon, J.H.; Ahn, S.B.; Cho, Y.J.; et al. Associations between intakes of individual nutrients or whole food groups and non-alcoholic fatty liver disease among Korean adults. J. Gastroenteerol. Hepatol. 2014, 29, 1265–1272. [Google Scholar] [CrossRef] [PubMed]
  22. Shi, L.; Liu, Z.W.; Li, Y.; Gong, C.; Zhang, H.; Song, L.J.; Huang, C.Y.; Li, M. The prevalence of nonalcoholic fatty liver disease and its association with lifestyle/dietary habits among university faculty and staff in Chengdu. Biomed. Environ. Sci. 2012, 25, 383–391. [Google Scholar]
  23. Zelber-Sagi, S.; Nitzan-Kaluski, D.; Goldsmith, R.; Webb, M.; Blendis, L.; Halpern, Z.; Oren, R. Long term nutritional intake and the risk for non-alcoholic fatty liver disease (NAFLD): A population based study. J. Hepatol. 2007, 47, 711–717. [Google Scholar] [CrossRef]
  24. Mokhtari, Z.; Poustchi, H.; Eslamparast, T.; Hekmatdoost, A. Egg consumption and risk of non-alcoholic fatty liver disease. World J. Hepatol. 2017, 9, 503–509. [Google Scholar] [CrossRef]
  25. Baumgartner, S.; Kelly, E.R.; van der Made, S.; Berendschot, T.T.; Husche, C.; Lütjohann, D.; Plat, J. The influence of consuming an egg or an egg-yolk buttermilk drink for 12 wk on serum lipids, inflammation, and liver function markers in human volunteers. Nutrition 2013, 29, 1237–1244. [Google Scholar] [CrossRef] [PubMed]
  26. Donghia, R.; Pesole, P.L.; Coletta, S.; Bonfiglio, C.; De Pergola, G.; De Nucci, S.; Rinaldi, R.; Giannelli, G. Food Network Analysis in Non-Obese Patients with or without Steatosis. Nutrients 2023, 15, 2713. [Google Scholar] [CrossRef] [PubMed]
  27. Misciagna, G.; Leoci, C.; Guerra, V.; Chiloiro, M.; Elba, S.; Petruzzi, J.; Mossa, A.; Noviello, M.R.; Coviello, A.; Minutolo, M.C.; et al. Epidemiology of cholelithiasis in southern Italy. Part II: Risk factors. Eur. J. Gastroenteerol. Hepatol. 1996, 8, 585–593. [Google Scholar] [CrossRef] [PubMed]
  28. Attili, A.F.; Capocaccia, R.; Carulli, N.; Festi, D.; Roda, E.; Barbare, L.; Capocaccia, L.; Menotti, A.; Okolicsanyi, L.; Ricci, G.; et al. Factors associated with gallstone disease in the MICOL experience. Multicenter Italian Study on Epidemiology of Cholelithiasis. Hepatology 1997, 26, 809–818. [Google Scholar] [CrossRef] [PubMed]
  29. Chiloiro, M.; Caruso, M.G.; Cisternino, A.M.; Inguaggiato, R.; Reddavide, R.; Bonfiglio, C.; Guerra, V.; Notarnicola, M.; De Michele, G.; Correale, M.; et al. Ultrasound evaluation and correlates of fatty liver disease: A population study in a Mediterranean area. Metab. Syndr. Relat. Disord. 2013, 11, 349–358. [Google Scholar] [CrossRef] [PubMed]
  30. Sever, P. New hypertension guidelines from the National Institute for Health and Clinical Excellence and the British Hypertension Society. J. Renin Angiotensin Aldosterone Syst. 2006, 7, 61–63. [Google Scholar] [CrossRef] [PubMed]
  31. Leoci, C.C.S.; Guerra, V.; Cisternino, A.M.; Misciagna, G. Reliability and validity of a self administrered semi-quantitative food frequency questionnaire. Giorn. Italy Nutr. Clin. Prev. 1993, 71, 1269–1324. [Google Scholar]
  32. Musso, G.; Gambino, R.; De Michieli, F.D.; Cassader, M.; Rizzetto, M.; Durazzo, M.; Fagà, E.; Silli, B.; Pagano, G. Dietary habits and their relations to insulin resistance and postprandial lipemia in nonalcoholic steatohepatitis. Hepatology 2003, 37, 909–916. [Google Scholar] [CrossRef]
  33. Yasutake, K.; Nakamuta, M.; Shima, Y.; Ohyama, A.; Masuda, K.; Haruta, N.; Fujino, T.; Aoyagi, Y.; Fukuizumi, K.; Yoshimoto, T.; et al. Nutritional investigation of non-obese patients with non-alcoholic fatty liver disease: The significance of dietary cholesterol. Scand. J. Gastoenterol. 2009, 44, 471–477. [Google Scholar] [CrossRef] [PubMed]
  34. Goodrow, E.F.; Wilson, T.A.; Houde, S.C.; Vishwanathan, R.; Scollin, P.A.; Handelman, G.; Nicolosi, R.J. Consumption of one egg per day increases serum lutein and zeaxanthin concentrations in older adults without altering serum lipid and lipoprotein cholesterol concentrations. J. Nutr. 2006, 136, 2519–2524. [Google Scholar] [CrossRef] [PubMed]
  35. Reaven, G.M.; Abbasi, F.; Bernhart, S.; Coulston, A.; Darnell, B.; Dashti, N.; Kim, H.; Kulkarni, K.; Lamendola, C.; McLaughlin, T.; et al. Insulin resistance, dietary cholesterol, and cholesterol concentration in postmenopausal women. Metabolism 2001, 50, 594–597. [Google Scholar] [CrossRef]
  36. Mayurasakorn, K.; Srisura, W.; Sitphahul, P.; Hongto, P. High-density lipoprotein cholesterol changes after continuous egg consumption in healthy adults. J. Med. Assoc. Thai. 2008, 91, 400–407. [Google Scholar] [PubMed]
  37. Cohn, J.S.; Kamili, A.; Wat, E.; Chung, R.W.S.; Tandy, S. Reduction in intestinal cholesterol absorption by various food components: Mechanisms and implications. Atheroscler. Suppl. 2010, 11, 45–48. [Google Scholar] [CrossRef]
  38. Gunness, P.; Gidley, M.J. Mechanisms underlying the cholesterol-lowering properties of soluble dietary fibre polysaccharides. Food Funct. 2010, 1, 149–155. [Google Scholar] [CrossRef]
  39. Campanella, A.; Misciagna, G.; Mirizzi, A.; Caruso, M.G.; Bonfiglio, C.; Aballay, L.R.; de Arruda Silveira, L.V.; Bianco, A.; Franco, I.; Sorino, P.; et al. The effect of the Mediterranean Diet on lifespan: A treatment-effect survival analysis of a population-based prospective cohort study in Southern Italy. Int. J. Epidemiol. 2021, 50, 245–255. [Google Scholar] [CrossRef]
  40. Ordovas, J.M.; Lopez-Miranda, J.; Mata, P.; Perez-Jimenez, F.; Lichtenstein, A.H.; Schaefer, E.J. Gene-diet interaction in determining plasma lipid response to dietary intervention. Atherosclerosis 1995, 118, S11–S27. [Google Scholar] [CrossRef]
  41. Ostlund, R.E., Jr.; Bosner, M.S.; Stenson, W.F. Cholesterol absorption efficiency declines at moderate dietary doses in normal human subjects. J. Lipid Res. 1999, 40, 1453–1458. [Google Scholar] [CrossRef]
  42. Jones, P.J.; Pappu, A.S.; Hatcher, L.; Li, Z.C.; Illingworth, D.R.; Connor, W.E. Dietary cholesterol feeding suppresses human cholesterol synthesis measured by deuterium incorporation and urinary mevalonic acid levels. Arterioscler. Thromb. Vasc. Biol. 1996, 16, 1222–1228. [Google Scholar] [CrossRef] [PubMed]
  43. Preli, R.B.; Klein, K.P.; Herrington, D.M. Vascular effects of dietary L-arginine supplementation. Atherosclerosis 2002, 162, 1–15. [Google Scholar] [CrossRef] [PubMed]
  44. Wallin, A.; Forouhi, N.G.; Wolk, A.; Larsson, S.C. Egg consumption and risk of type 2 diabetes: A prospective study and dose-response meta-analysis. Diabetologia 2016, 59, 1204–1213. [Google Scholar] [CrossRef] [PubMed]
  45. Noureddin, M.; Mato, J.M.; Lu, S.C. Nonalcoholic fatty liver disease: Update on pathogenesis, diagnosis, treatment and the role of S-adenosylmethionine. Exo Biol. Med. 2015, 240, 809–820. [Google Scholar] [CrossRef] [PubMed]
  46. Talari, H.R.; Molaqanbari, M.R.; Mokfi, M.; Taghizadeg, M.; Bahmani, F.; Tabatabei, S.M.H.; Sharifi, N. The effects of vitamin B12 supplementation on metabolic profile of patients with non-alcoholic fatty liver disease: A randomized controlled trial. Sci. Rep. 2022, 12, 14047. [Google Scholar] [CrossRef] [PubMed]
  47. Koplay, M.; Gulcan, E.; Ozkan, F. Association between serum vitamin B12 levels and the degree of steatosis in patients with nonalcoholic fatty liver disease. J. Investig. Med. 2011, 59, 1137–1140. [Google Scholar] [CrossRef]
  48. Cordero, P.; Gomez-Uriz, A.M.; Campion, J.; Milagro, F.I.; Martinez, J.A. Dietary supplementation with methyl donors reduces fatty liver and modifies the fatty acid synthase DNA methylation profile in rats fed an obesogenic diet. Genes Nutr. 2013, 8, 105–113. [Google Scholar] [CrossRef]
  49. Zhang, Y.; Zhang, D.Z. Red meat, poultry, and egg consumption with the risk of hypertension: A meta-analysis of prospective cohort studies. J. Hum. Hypertens. 2018, 32, 507–517. [Google Scholar] [CrossRef]
  50. Miguel, M.; Aleixandre, A. Antihypertensive peptides derived from egg proteins. J. Nutr. 2006, 136, 1457–1460. [Google Scholar] [CrossRef]
  51. Hong, F.; Ming, L.M.; Yi, S.; Zhanxia, L.; Yongquan, W.; Chi, L. The antihypertensive effect of peptides: A novel alternative to drugs? Peptides 2008, 29, 1062–1071. [Google Scholar] [CrossRef] [PubMed]
  52. Miguel, M.; López-Fandiño, R.; Ramos, M.; Aleixandre, A. Short-term effect of egg-white hydrolysate products on the arterial blood pressure of hypertensive rats. Br. J. Nutr. 2005, 94, 731–737. [Google Scholar] [CrossRef] [PubMed]
  53. Aleixandre, A.; Miguel, M.; Muguerza, B. Peptides with antihypertensive activity from milk and egg proteins. Nutr. Hosp. 2008, 23, 313–318. [Google Scholar] [PubMed]
Nutrients 16 00430 g001
Figure 1. Half-violin plot of daily egg consumption by group.
Figure 1. Half-violin plot of daily egg consumption by group.
Nutrients 16 00430 g001
Table 1. Epidemiological and clinical characteristics of patients with SLD or HTN (n = 908).
Table 1. Epidemiological and clinical characteristics of patients with SLD or HTN (n = 908).
Parameters *Disease Conditionp ^Multiple Comparisons ψ
SLD (No)/
HTN (No)
(n = 236)
(a)		SLD (No)/
HTN (Yes)
(n = 176)
(b)		SLD (Yes)/
HTN (No)
(n = 209)
(c)		SLD (Yes)/
HTN (Yes)
(n = 287)
(d)		(b) vs. (a)(c) vs. (a)(d) vs. (a)(c) vs. (b)(d) vs. (b)(d) vs. (c)
Gender (M) (%)116 (49.15)88 (50.00)126 (60.29)164 (57.14)0.05 ¥0.86 †0.01 †0.48 †0.04 †0.13 †0.48 †
Age (yrs)61.34 ± 12.1670.54 ± 9.3361.72 ± 10.3569.24 ± 8.440.001<0.00010.44<0.0001<0.00010.07<0.0001
Degree of Education (%) <0.001 ¥
No59 (25.11)77 (43.75)47 (22.71)114 (40.00) 0.0001 †<0.0001 †0.0001 †0.04 †0.13 †0.48 †
Elementary School68 (28.94)43 (24.43)81 (39.13)89 (31.23) 0.31 †0.002 †0.07 †0.002 †0.12 †0.07 †
Secondary School75 (31.91)29 (16.48)52 (25.12)45 (15.79) 0.0004 †0.04 †0.01 †0.04 †0.84 †0.01 †
High School27 (11.49)6 (3.41)17 (8.21)10 (3.51) 0.003 †0.05 †0.02 †0.05 †0.95 †0.02 †
Degree6 (2.55)21 (11.93)10 (4.83)27 (9.47) 0.0001 †0.01 †0.05 †0.01 †0.40 †0.05 †
Smoker (Yes) (%)36 (15.32)18 (10.29)33 (15.79)31 (10.84)0.18 ¥0.14 †0.89 †0.13 †0.11 †0.85 †0.10 †
BMI (kg/m2)25.27 ± 3.3227.32 ± 4.2028.80 ± 4.3331.56 ± 5.390.0001<0.0001<0.0001<0.00010.0001<0.0001<0.0001
Diabetes (Yes) (%)10 (4.26)24 (13.64)17 (8.13)65 (22.65)<0.001 ¥0.0006 †0.09 †<0.0001 †0.08 †0.001 †<0.0001 †
MetS (Yes) (%)37 (15.68)77 (43.75)84 (40.19)198 (68.99)<0.001 ¥<0.0001 †<0.0001 †<0.0001 †0.48 †<0.0001 †<0.0001 †
* As mean and standard deviation for continuous variables, and as frequency and percentage (%) for categorical variables. ^ Kruskal–Wallis equality of populations rank test; ¥ Chi-square test; ψ Dunn’s test of multiple comparisons; † Proportion test. Abbreviations: SLD, Steatotic Liver Disease; HTN, Hypertension; BMI, Body Mass Index; MetS, Metabolic Syndrome.
Table 2. Eggs consumption stratified by SLD or HTN.
Table 2. Eggs consumption stratified by SLD or HTN.
Parameters *Disease Conditionp ^Multiple Comparisons ψ
SLD (No)/
HTN (No)
(n = 236)
(a)		SLD (No)/
HTN (Yes)
(n = 176)
(b)		SLD (Yes)/
HTN (No)
(n = 209)
(c)		SLD (Yes)/
HTN (Yes)
(n = 287)
(d)		(b) vs. (a)(c) vs. (a)(d) vs. (a)(c) vs. (b)(d) vs. (b)(d) vs. (c)
Eggs (g/die)10.43 ± 9.857.23 ± 6.989.45 ± 8.777.82 ± 7.630.0010.00050.120.00070.020.300.03
Eggs (n#/week) (%) 0.004 ¥
 <2168 (71.19)146 (82.95)147 (70.33)227 (79.09) 0.005 †0.84 †0.04 †0.004 †0.31 † 0.02 †
 2–346 (19.49)26 (14.77)48 (22.97)50 (17.42) 0.21 †0.37 †0.55 †0.04 †0.45 †0.12 †
 >322 (9.32)4 (2.27)14 (6.70)10 (3.48) 0.004 †0.31 †0.005 †0.07 †0.64 †0.10 †
* As Mean and Standard Deviation for continuous variables, and as frequency and percentage (%) for categorical variables. ^ Kruskal–Wallis equality of populations rank test; ¥ Fisher’s exact test; ψ Dunn’s test of multiple comparisons; † Proportions test.
Table 3. Multinomial logistic regression analysis of disease condition categories using egg daily intake or eggs per week.
Table 3. Multinomial logistic regression analysis of disease condition categories using egg daily intake or eggs per week.
ParametersSLD (No)
and
HTN (Yes) ¥		SLD (Yes)
and
HTN (No) ¥		SLD (Yes)
and
HTN (Yes) ¥
RRRse (RRR)p95% C.I.RRRse (RRR)p95% C.I.RRRse (RRR)p95% C.I.
Model 1
Eggs (g/die)0.950.01<0.0010.93 to 0.980.990.010.290.97 to 1.010.960.010.0010.94 to 0.98
Eggs (n#/week)
 <2 [Ref.]------------------------
 2–30.650.170.110.38 to 1.101.190.280.450.75 to 1.890.800.180.340.51 to 1.26
 >30.210.120.0050.07 to 0.620.730.260.380.36 to 1.470.340.130.0060.15 to 0.73
Model 2
Eggs (g/die)0.960.010.0060.94 to 0.990.990.010.330.97 to 1.010.970.010.010.95 to 0.99
Eggs (n#/week)
 <2 [Ref.]------------------------
 2–30.930.260.790.53 to 1.621.220.290.400.76 to 1.961.100.260.700.68 to 1.76
 >30.270.150.020.09 to 0.810.710.260.360.35 to 1.460.400.160.030.18 to 0.90
Model 3
Eggs (g/die)0.960.010.0090.94 to 0.990.990.010.220.97 to 1.010.970.010.0080.95 to 0.99
Eggs (n#/week)
 <2 [Ref.]------------------------
 2–30.990.290.960.56 to 1.751.170.280.510.73 to 1.891.030.250.910.63 to 1.67
 >30.270.160.020.09 to 0.840.620.230.190.30 to 1.280.340.140.0090.15 to 0.76
Abbreviations: SLD, Steatotic Liver Disease (SLD); HTN, Hypertension; RRR, Relative-Risk Ratios; se (RRR), standard error of RRR; 95% C.I., Confidential Interval at 95%. ¥ Reference category: SLD (No) and HTN (No). Model 1, Row Model; Model 2, Adjusted for age, and gender; Model 3, adjusted for age, gender, and kcal daily intake.
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.

Share and Cite

MDPI and ACS Style

Tatoli, R.; Bonfiglio, C.; Cuccaro, F.; Campanella, A.; Coletta, S.; Pesole, P.L.; Giannelli, G.; Donghia, R. Effects of Egg Consumption on Subjects with SLD or Hypertension: A MICOL Study. Nutrients 2024, 16, 430. https://doi.org/10.3390/nu16030430

AMA Style

Tatoli R, Bonfiglio C, Cuccaro F, Campanella A, Coletta S, Pesole PL, Giannelli G, Donghia R. Effects of Egg Consumption on Subjects with SLD or Hypertension: A MICOL Study. Nutrients. 2024; 16(3):430. https://doi.org/10.3390/nu16030430

Chicago/Turabian Style

Tatoli, Rossella, Caterina Bonfiglio, Francesco Cuccaro, Angelo Campanella, Sergio Coletta, Pasqua Letizia Pesole, Gianluigi Giannelli, and Rossella Donghia. 2024. "Effects of Egg Consumption on Subjects with SLD or Hypertension: A MICOL Study" Nutrients 16, no. 3: 430. https://doi.org/10.3390/nu16030430

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop