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ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 13 October 2022
Sec. Hypertension
Volume 9 - 2022 | https://doi.org/10.3389/fcvm.2022.1030968

Association of non-alcoholic fatty liver disease with left ventricular changes in treatment-naive patients with uncomplicated hypertension

Cristiana Catena1† Gabriele Brosolo1† Andrea Da Porto2 Debora Donnini3 Luca Bulfone1 Antonio Vacca1 Giorgio Soardo3 Leonardo A. Sechi1,2,3*
  • 1Internal Medicine and European Hypertension Excellence Center, Department of Medicine, University of Udine, Udine, Italy
  • 2Diabetes and Metabolism Unit, Department of Medicine, University of Udine, Udine, Italy
  • 3Liver Unit, Department of Medicine, University of Udine, Udine, Italy

Background and aims: Cardiac structural and functional changes have been demonstrated in patients with non-alcoholic fatty liver disease (NAFLD). Because of the frequent association of NAFLD with hypertension, we aimed to examine the relationship of liver steatosis with left ventricular (LV) changes in patients with hypertension.

Materials and methods: In a cross-sectional study, we included 360 untreated, essential hypertensive patients who were free of major cardiovascular and renal complications. Liver steatosis was assessed by three different biochemical scores (NAFLD Liver Fat Score, LFS; Fatty Liver Index, FLI; Hepatic Steatosis Index, HSI). Echocardiography was performed with standard B-mode and tissue-Doppler imaging.

Results: LV hypertrophy was present in 19.4% and LV diastolic dysfunction in 49.2% of patients who had significantly higher body mass index (BMI), blood pressure (BP), and homeostatic model assessment (HOMA) index and higher frequency of the metabolic syndrome and liver steatosis that was defined by presence of 2 or more positive scores. LV mass index increased progressively across patients who had none, 1, or 2 or more liver steatosis scores, with associated progressive worsening of LV diastolic function. LV mass index was significantly and positively correlated with age, BMI, BP, HOMA-index, LFS, and HSI. Logistic regression analysis showed that age, BP, and liver steatosis scores independently predicted LV hypertrophy and diastolic dysfunction. Liver steatosis independently predicted LV dysfunction but not LV hypertrophy even after inclusion in analysis of the HOMA-index.

Conclusion: NAFLD is associated with LV hypertrophy and diastolic dysfunction in untreated patients with hypertension. In hypertension, NAFLD could contribute to LV diastolic dysfunction with mechanisms unrelated to insulin resistance.

Introduction

Non-alcoholic fatty liver disease (NAFLD) is the most frequent chronic hepatic disease embracing a continuum of conditions progressing from plain liver steatosis to non-alcoholic steatohepatitis, cirrhosis and, eventually, hepatocellular carcinoma (1). NAFLD is commonly considered the distinctive feature of the liver involvement in the metabolic syndrome (2) and is an independent predictor of coronary heart and cerebrovascular disease (3). Moreover, NAFLD has been associated with subclinical cardiac and vascular changes that are known to precede major cardiovascular events (4). NAFLD is identified on liver biopsies when at least 5% of cells are repleted with fat in the presence of less than 30 g for men and 20 g for women of daily alcohol intake (5). Alternatively, hepatic imaging, elastography, or biochemical scores are used to detect liver steatosis without significant losses in specificity and sensitivity (6, 7). In recent years, the relationship of fatty liver with cardiac changes has been extensively investigated by use of either hepatic imaging or biochemical scores (8). Cross-sectional and prospective investigations conducted in the general population (9, 10) or selected groups of NAFLD patients (1114), and cumulative analyses (15, 16) have reported significant association of fatty liver with left ventricular (LV) abnormalities. Moreover, recent studies demonstrate that fatty liver is associated with an increased risk of new onset arterial hypertension and, vice versa, that arterial hypertension is associated with an increased risk of NAFLD (17, 18), findings that indicate a close link between these two conditions.

Diastolic heart failure is detected with growing frequency in patients with hypertension and LV hypertrophy (19) and is preceded by impairment of LV filling properties that indicate reduced distensibility of the chamber. In hypertension, impaired LV diastolic properties can be found even in structurally normal LV and are associated with higher risk of death and hospitalization (20). Although response to an increased cardiac workload is crucial for the development of hypertension-related LV structural and functional changes, non-hemodynamic components might have a role. These components include aging, sex, body mass index, genetics, together with many biochemical, metabolic, and endocrine mediators (21). Therefore, in hypertension prompt detection of conditions that might contribute to LV hypertrophy and/or diastolic impairment is critical to forestall the decline of cardiac function and heart failure (22).

Although NAFLD, hypertension, and LV hypertrophy could share a common denominator in decreased insulin sensitivity, no information is currently available on the possible relevance of fatty liver for cardiac abnormalities in hypertensive patients. We hypothesized that NAFLD could contribute to subclinical cardiac changes of hypertensive patients and that this contribution occurs independently of insulin resistance. Therefore, this study was conducted to investigate the relationships between biochemical scores of liver steatosis and cardiac structural and functional abnormalities in untreated hypertensive patients who were free of cardiac, vascular, and renal complications.

Materials and methods

Design of the study and subjects

In a cross-sectional design, we enrolled never treated hypertensive subjects who were referred from July 2019 to December 2021 to our outpatient clinic. These patients include subjects with hypertension of all grades living in North-East of Italy and feature the hypertensive population of the geographical area (23). Blood pressure was measured with an automatic tool according to current guidelines (24). Measurements were done with an appropriately sized cuff after each subject had been supine for 15 min, and the average of three readings was recorded. Hypertension was diagnosed after repeated measurements that were obtained in 3 or more separate visits that were done at time intervals that varied according to the severity of hypertension (24). Predefined exclusion criteria were: age < 18 years or > 80 years; pregnancy or use of estrogens; body mass index (BMI) > 35 kg/m2; alcohol consumption > 30 g/day in men, and > 20 g/day in women; secondary hypertension; glomerular filtration rate < 30 ml/min/1.73 m2; history of recent illness; any type of liver disease including hepatotropic viral infections; any type of coronary artery, cerebrovascular, and peripheral vascular disease. Smoking was categorized when subjects had smoked for more than 5°years and up to 1°year before enrolment. Definition of ethanol intake was obtained by use of the AUDIT questionnaire (25). For 1°week, patients ate a standardized diet with a sodium content of approximately 150 mmol/day that was controlled by measurements of 24-h urinary sodium excretion. Causes of secondary hypertension were ruled out according to current guidelines (24) after thorough clinical, laboratory (urine analysis, glomerular filtration rate, plasma aldosterone, renin, and cortisol, free urinary cortisol and epinephrine, norepinephrine, and dopamine) and instrumental testing (electrocardiogram, cardiac ultrasound, renal ultrasound with assessment of the resistance indexes, and renal angio-computerized tomography and adrenal computerized tomography scan when indicated) (26).

An oral glucose tolerance test was performed in all patients with a standard load (75 g of glucose) and measurement of plasma glucose at 30, 60, 90, 120, and 180 min. According to current guidelines (27), patients were classified as having impaired fasting glucose (IFG) when fasting plasma glucose was between 100 and 125 mg/dL or glycated hemoglobin was between 5.7 and 6.5%, impaired glucose tolerance (IGT) when plasma glucose level at 120 min after oral glucose load was between 140 and 199 mg/dL, and diabetes when fasting plasma glucose was ≥ 126 mg/dL on at least two separate measurements, glycated hemoglobin ≥ 6.5%, or plasma glucose at 120 min after oral glucose load ≥ 200 mg/dL. None of diabetic patients was treated with insulin. Diagnosis of the metabolic syndrome was obtained by the American Heart Association criteria (28), when hypertension was associated with two or more of the following conditions: waist circumference ≥ 102 cm in men or ≥ 88 cm in women; fasting plasma glucose ≥ 100 mg/dL or use of hypoglycemic drugs; triglycerides ≥ 150 mg/dL; HDL-cholesterol ≤ 40 mg/dL in men or ≤ 50 mg/dL in women. The study followed the principles of the Declaration of Helsinki and received approval from the local Institutional Review Board. All patients provided their informed consent.

Laboratory tests

Blood was collected by venipuncture into silicone-treated glass tubes after overnight fasting. After separation, plasma was stored at −80°C until assay. Measurements were done as previously reported (25). Glucose was measured by a chemical method, and insulin by radioimmunoassay. Insulin sensitivity was assessed by calculation of the homeostatic model assessment (HOMA) index using the formula {[fasting plasma glucose (mmol/L) × fasting insulin (μU/mL)/22.5]}. Total cholesterol, high-density lipoprotein, and triglycerides were measured in plasma in an automated device and low-density lipoprotein was calculated with the formula of Friedewald. Duplicate measurements of 24-h creatinine clearance that were normalized for body surface area were used to assess glomerular filtration rate. Plasma aldosterone was assayed by chemiluminescence (Immunodiagnostic System Ltd., London, England) and active renin by chemiluminescence enzyme immunoassay (CLIA).

Liver steatosis

Liver steatosis was assessed by three different biochemical scores: NAFLD Liver Fat Score (LFS), Fatty Liver Index (FLI), and Hepatic Steatosis Index (HSI) (Table 1). These scores have been validated in population studies (6, 7). Liver steatosis was considered to be present when at least 2 of these scores indicated presence of fatty liver (LFS > 0.640; FLI > 60; and HIS > 36) (6, 7).

TABLE 1
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Table 1. Biochemical scores that were used for definition of liver steatosis.

Echocardiography

Echocardiography was performed with a standard machine (Aplio CV, Toshiba Medical System, Tokyo, Japan) by the same researcher who was blind to the patients’ characteristics (29, 30). LV end-systolic and end-diastolic diameters, left-atrial diameter, and thickness of the interventricular septum and LV posterior wall, and the relative wall thickness (RWT) were measured using a 2.5 MHz transducer, under bidimensional control. A RWT of 0.42 or more was considered to identify LV concentric geometry (31). The Penn Convention formula was used to calculate LV mass index, with a limit of 50 g/m2.7 for men and 47 g/m2.7 for women used to identify LV hypertrophy (31). LV ejection fraction and endocardial fractional shortening were measured to assess systolic function. Conventional pulsed Doppler measurement of early (E) and late-wave (A) trans-mitral peak velocities with calculation of the E/A ratio, and tissue-Doppler imaging (TDI) were used to assess LV diastolic function. TDI has higher sensitivity than conventional methodology for early detection of impaired LV diastolic function (32). Early (e’) and late (a’) myocardial velocities of the septal and lateral walls were measured in the mitral valve annulus, with a Doppler beam positioned parallel to the LV wall. Average e’ and a’ values were obtained from measurements in three consecutive cardiac cycles and the e’/a’ and E/e’ ratios were calculated. LV diastolic dysfunction was considered according to guidelines (32) when E/e’ ratio was > 14 or when 2 or more of the following variables were above or below a defined age-related cut-off: left atrial volume > 34 mL; E/A ratio 20–39 yr. < 1.1, 40–49 yr. < 0.9, 50–59 yr. < 0.8, 60–69 yr. < 0.7, ≥ 70 yr. < 0.6; e’ velocity < 55 yr. < 10 cm/sec, 55–65 yr. < 9 cm/sec, > 65 yr. < 8 cm/sec (30).

Statistical analysis

The Kolmogorov-Smirnov test was used to assess normality of distribution of the study variables. Variables with skewed distribution were log transformed. Mean ± standard deviation is used to present normally distributed variables and median and [interquartile ranges] to present skewed variables. Categorical data are presented as absolute number and percentage. Frequency distributions were compared by the Pearson’ s chi-square test. Comparisons between 2 independent groups were done by the Student’s t and the Mann-Whitney test. Analysis of variance adjusted for covariates and with Bonferroni correction was used to compare more than 2 groups. Linear regression analysis was used to examine the relationships between continuously distributed variables, and correlation was expressed by the Pearson’s correlation coefficient r. Multivariate logistic regression models were used including LV hypertrophy or LV diastolic dysfunction as the dependent variables, to define variables that were independently associated. In these models, we included variables that were associated with LV hypertrophy and diastolic dysfunction in univariate analysis. P values of less than 0.05 were considered to indicate statistical significance. All data analyses were performed using Stata 12.1 (StataCorp LP, College Station, TX, USA).

Results

Three-hundred-sixty treatment-naïve, patients with essential hypertension (age 48 ± 14 yr.; 199 males, 161 females) were included in this study. Clinical, biochemical, and cardiac ultrasound parameters are shown in Table 2 in which patients are separated based upon the presence (n = 70, 19.4%) or absence (n = 290, 80.6%) of LV hypertrophy, and presence (n = 172, 47.8%) or absence (n = 188, 52.2%) of LV diastolic dysfunction. Patients with LV hypertrophy and diastolic dysfunction had significantly higher BMI, waist circumference, systolic and diastolic blood pressure, plasma insulin, and HOMA-index, whereas renal function, plasma lipid fractions, and liver enzymes were comparable with patients with normal LV mass and diastolic function. LV diastolic dysfunction was also associated with higher alcohol consumption. Higher frequency of concentric geometry and worse diastolic function were associated with LV hypertrophy, and greater LV mass was associated with LV diastolic dysfunction. LV systolic function was normal in all patients and this was irrespective of absence or presence of either LV hypertrophy or LV diastolic dysfunction.

TABLE 2
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Table 2. Clinical characteristics and biochemical and echocardiographic variables of hypertensive patients who were grouped according to presence or absence of left ventricular hypertrophy or according to presence or absence of left ventricular diastolic dysfunction.

Liver steatosis was as defined by presence of at least 2 positive NAFLD scores and was found in 96 (26.7%) of the study patients. Among the remaining patients, 159 (44.2%) had no positive NAFLD score and 105 (29.2%) had only one. Prevalence of steatosis was significantly higher in patients with LV hypertrophy than in patients with normal LV mass (40.0% vs. 23.4%; P = 0.005), and in patients with LV diastolic dysfunction than in patients with normal diastolic function (34.3% vs. 19.7%; P = 0.002) (Table 1).

Patients were further separated based upon presence of none, 1, or 2 or more positive NAFLD scores and their clinical, biochemical, and echocardiographic variables are shown in Table 3. Increasing number of NAFLD scores was associated with older age, male sex, and significantly higher BMI, waist/hip ratio, systolic and diastolic blood pressure, daily alcohol consumption, plasma insulin, HOMA-index, plasma lipids, and liver enzymes. No differences were found in glomerular filtration rate, and plasma renin and aldosterone levels. LV mass index increased progressively across liver steatosis groups and LV diastolic function (left atrial volume, E/A ratio, TDI e’ velocity, and e’/a’ ratio) progressively worsened. No differences were found in LV systolic function. Progressively higher frequency of LV hypertrophy and LV diastolic dysfunction (Figures 1A,B) was observed across liver steatosis groups, while no significant difference was observed in RWT (Figure 1C).

TABLE 3
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Table 3. Clinical characteristics and biochemical and echocardiographic variables of hypertensive patients who were grouped according to absence, or presence (1 or ≥ 2) of positive liver steatosis scores.

FIGURE 1
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Figure 1. Bar graph showing the prevalence of left ventricular hypertrophy (A), left ventricular diastolic dysfunction (B), and left ventricular relative wall thickness (C) in patients with essential hypertension according to the number of liver steatosis scores (none, 1, ≥ 2). The chi square test was used to compare the frequency in the three groups.

Analysis of LV geometric patterns showed: normal geometry (n = 229, 63.6%), concentric remodeling (n = 61, 16.9%), eccentric hypertrophy (n = 31, 8.6%), and concentric hypertrophy (n = 39, 10.8%). Distribution of patterns of LV geometry among patients with different liver steatosis grading showed progressive reduction in the frequency of the normal pattern with significant increase of concentric and eccentric hypertrophy (Figure 2).

FIGURE 2
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Figure 2. Bar graph showing the prevalence of different patterns of left ventricular geometry in patients with essential hypertension according to the number of liver steatosis scores (none, 1, ≥ 2).

Analysis of univariate correlations showed significant an direct correlation of LV mass index with age, BMI, systolic and diastolic blood pressure, HOMA-index, and both LFS and HSI (Table 4). LFS and HIS were also significantly correlated with the left atrial volume. Relative wall thickness was correlated with blood pressure and LFS, while among LV diastolic variables, the E/A ratio and e’ velocity was correlated directly with creatinine clearance and inversely with age and blood pressure.

TABLE 4
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Table 4. Univariate correlations with echocardiographic indexes as the dependent variables in hypertensive patients.

Left ventricular (LV) hypertrophy was included as the dependent variable in a multivariate logistic model, and age, sex, systolic blood pressure, obesity, creatinine clearance, and liver steatosis as independent variables (Table 5). In this analysis, age, systolic blood pressure, and liver steatosis resulted independent predictors of LV hypertrophy. However, when the HOMA-index was added to the logistic model, the association of liver steatosis with LV hypertrophy failed (Table 6). In another model, LV diastolic dysfunction was included as the dependent variable with the same independent variables as in the previous model and the addition of LV hypertrophy (Table 7). In this model, age, systolic blood pressure, LV hypertrophy, and liver steatosis were independent predictors of LV diastolic dysfunction. Liver steatosis independently predicted LV diastolic dysfunction even after inclusion of the HOMA-index in the multivariate model (Table 8).

TABLE 5
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Table 5. Logistic regression analysis with left ventricular hypertrophy as the dependent variable.

TABLE 6
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Table 6. Logistic regression analysis with left ventricular hypertrophy as the dependent variable and inclusion of the homeostatic model assessment (HOMA) index as an independent variable.

TABLE 7
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Table 7. Logistic regression analysis with left ventricular diastolic dysfunction as the dependent variable.

TABLE 8
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Table 8. Logistic regression analysis with left ventricular diastolic dysfunction as the dependent variable and inclusion of the homeostatic model assessment (HOMA) index as an independent variable.

Discussion

A significant association of liver steatosis with LV abnormalities was reported in studies conducted in the general population and in subjects with NAFLD. Because LV changes have strong impact on the clinical outcome in hypertension, we examined the relationships of fatty liver with cardiac abnormalities in treatment-naïve, essential hypertensive patients who were free of major organ complications. Our results demonstrate that liver steatosis, as identified by use of biochemical scores, is significantly more frequent in hypertensive patients with LV hypertrophy and LV diastolic dysfunction than patients with normal hearts. LV mass index increases progressively and diastolic function worsens with increasing number of steatosis scores. Moreover, liver steatosis scores predict LV hypertrophy and diastolic dysfunction independently of blood pressure and obesity, although this association is independent of the HOMA-index only for LV diastolic dysfunction. This is the first demonstration that liver steatosis can contribute to LV changes in patients with essential hypertension. In these patients, mechanisms linking steatosis with LV diastolic dysfunction could be independent of insulin resistance.

The association of NAFLD with heart abnormalities has recently ended up in the spotlight because of the strong relevance that this relationship holds for the risk of cardiac failure and cardiovascular death. Cross-sectional investigations conducted with use of either liver biopsy or elastography in patients with NAFLD reported increased frequency of LV hypertrophy, concentric remodeling, and diastolic dysfunction (1114). Similar findings were reported in a population-based study (33) and two meta-analyses of cross-sectional studies (15, 16). Later, significant association between NAFLD and LV hypertrophy was reported also in prospective investigations (8). In the CARDIA (Coronary Artery Risk Development in Young Adults) study, subjects with evidence of NAFLD at the 25th year of follow-up had higher rate of incident LV hypertrophy in the following 5 years (9). More recently, Li et al. have provided further prospective evidence of an association between the FLI and LV mass, replicating the findings obtained in two independent cohorts that included subjects of mixed ethnicity (10).

Although the epidemiologic link between hypertension and NAFLD has been clearly established (17, 18), information on the possible relationship of liver steatosis with hypertension-related cardiac changes is scanty. In 116 diabetic-hypertensive patients, NAFLD was associated with LV hypertrophy independently of BMI, systolic blood pressure, duration of diabetes, and glycated hemoglobin (34). Differently, in a preliminary study conducted in unselected patients with hypertension, patients with ultrasound evidence of NAFLD had comparable LV mass but lower E/A ratio on standard B-mode echocardiography than those without NAFLD, suggesting worse diastolic function (35). This study was performed in a significantly greater group of highly selected patients with hypertension who were free of important comorbidities and in whom LV function was assessed by TDI that is much more sensitive than conventional echocardiography in the early detection of impaired systolic and/or diastolic function. Also, because of the important cardiac specific effects of antihypertensive drugs, only treatment-naïve patients were included in the study. This constitutes one of the major strengths of the study, and strongly suggests that the association between fatty liver and both LV hypertrophy and diastolic dysfunction occurs independently of blood pressure levels and drug interference.

Nonalcoholic fatty liver disease (NAFLD) has received broad recognition as the hepatic manifestation of the metabolic syndrome, since insulin resistance and oxidative stress are essential requirements for fat accumulation in hepatocytes (36, 37). Insulin resistance has been closely linked also to hypertension (38) and LV changes (39), and abnormalities of insulin receptors were demonstrated both in NAFLD (40) and hypertension (41). In our hypertensive patients, higher plasma insulin and HOMA-index were associated with greater LV mass and diastolic dysfunction, and their values increased with increasing number of steatosis scores. These findings suggest that insulin resistance with the related hyperinsulinemia could have a leading role among the mechanism linking liver steatosis with hypertension-related LV changes. However, the association of liver steatosis with LV diastolic dysfunction remained independent after inclusion of the HOMA-index in the multivariate model, suggesting possible existence of additional mechanisms. Among these mechanisms, impaired iron metabolism and increased iron stores that are frequently observed in patients with NAFLD might activate oxidative stress and thereby unfavorably affect cardiovascular functions (42). Also, a prothrombotic state that is frequently detected in patients with fatty liver (43) might contribute to the development and progression of hypertension-related cardiac damage (44).

Limitations of the study need to be underlined. The cross-sectional design limits the possibility to establish a direct functional link between fatty liver and LV changes, although independence of reported associations would suggest so. Also, definition of liver steatosis by use of biochemical scores has intrinsic limitations, although these scores were validated with liver biopsies and are commonly used in studies with large numbers of patients. To maximize their predictive power, three separate scores were combined to define different levels of probability of liver steatosis.

Conclusion

Characterization of conditions that in addition to an increased hemodynamic load contribute to cardiac abnormalities in hypertension is critical for the development of effective strategies to prevent or treat these abnormalities. Subclinical hypertension-related cardiac changes increase the risk of major cardiovascular events and anticipate progression to heart failure with preserved ejection fraction. Because of the previous evidence of an association between NAFLD and LV changes, we investigated the relevance of fatty liver in an accurately selected group of untreated hypertensive subjects. This is the first study to demonstrate an independent association of liver steatosis with LV hypertrophy and diastolic dysfunction in hypertension. This association can have great relevance in this specific group of patients. In addition to insulin resistance, additional mechanisms might have a role in this association. These findings open a window on the possibility to develop new strategies to prevent and treat hypertensive heart disease. Future studies will test the possible benefits of nutritional and pharmacologic interventions on liver steatosis for cardiac protection in hypertension.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, upon reasonable request.

Ethics statement

The studies involving human participants were reviewed and approved by the Internal Review Board. The patients/participants provided their written informed consent to participate in this study.

Author contributions

CC, GB, GS, and LS: conceptualization and design. CC, GB, and LS: writing the original draft. AD, DD, LB, AV, and GS: writing—review and editing. All authors acquisition of data, data analysis, and approved the final version of the manuscript, including the authorship list and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Funding

This work was supported by a research grant of the PierSilverio Nassimbeni Foundation to CC and LS.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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References

1. Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases. Hepatology. (2018) 67:328–57. doi: 10.1002/hep.29367

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Godoy-Matos AF, Silva WS Jr, Valerio CM. NAFLD as a continuum: from obesity to metabolic syndrome and diabetes. Diabetol Metab Syndr. (2020) 12:60. doi: 10.1186/s13098-020-00570-y

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Stahl EP, Dhindsa DS, Lee SK, Sandesara PB, Chalasani NP, Sperling LS. Nonalcoholic fatty liver disease and the heart: JACC state of the art review. J Am Coll Cardiol. (2019) 73:948–63. doi: 10.1016/j.jacc.2018.11.050

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Airaghi L, Rango M, Maira D, Barbieri V, Valenti L, Lombardi R, et al. Subclinical cerebrovascular disease in NAFLD without overt risk factors for atherosclerosis. Atherosclerosis. (2018) 268:27–31. doi: 10.1016/j.atherosclerosis.2017.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Brunt EM. Nonalcoholic steatohepatitis: definition and pathology. Semin Liver Dis. (2001) 21:3–16. doi: 10.1055/s-2001-12925

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Fedchuck L, Nascimbeni F, Pais R, Charlotte F, Housset C, Ratziu V, et al. Performance and limitations of steatosis biomarkers in patients with nonalcoholic fatty liver disease. Aliment Pharmacol Ther. (2014) 40:1209–22. doi: 10.1111/apt.12963

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Younes R, Caviglia GP, Govaere O, Rosso C, Armandi A, Sanavia T, et al. Long-term outcomes and predictive ability of noninvasive scoring systems in patients with nonalcoholic fatty liver disease. J Hepatol. (2021) 75:786–94. doi: 10.1016/j.jhep.2021.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sechi LA, Soardo G, Catena C. Nonalcoholic fatty liver disease and left ventricular remodelling: now the prospective evidence. J Hypertens. (2021) 39:864–6. doi: 10.1097/HJH.0000000000002750

PubMed Abstract | CrossRef Full Text | Google Scholar

9. VanWagner LB, Wilcox JE, Ning H, Lewis CE, Carr JJ, Rinella ME, et al. Longitudinal association of non-alcoholic fatty liver disease with changes in myocardial structure and function: the CARDIA study. J Am Heart Assoc. (2020) 9:e014279. doi: 10.1161/JAHA.119.014279

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Li X, Heiskanen JS, Ma H, Heianza Y, Guo Y, Kelly TN, et al. Fatty liver index and left ventricular mass: prospective associations from two independent cohorts. J Hypertens. (2020) 39:961–9. doi: 10.1097/HJH.0000000000002716

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hallsworth K, Hollingsworth KG, Thoma C, Jakovljevic D, MacGowan GA, Anstee QM, et al. Cardiac structure and function are altered in adults with non-alcoholic fatty liver disease. J Hepatol. (2013) 58:757–62. doi: 10.1016/j.jhep.2012.11.015

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Petta S, Argano C, Colomba D, Camma C, Di Marco V, Cabibi D, et al. Epicardial fat, cardiac geometry and cardiac function in patients with non-alcoholic fatty liver disease: association with the severity of liver disease. J Hepatol. (2015) 62:928–33. doi: 10.1016/j.jhep.2014.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Trovato FM, Martines GF, Catalano D, Musumeci G, Pirri C, Trovato GM. Echocardiography and NAFLD (non-alcoholic fatty liver disease). Int J Cardiol. (2016) 221:275–9. doi: 10.1016/j.ijcard.2016.06.180

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Lee YH, Kim KJ, Yoo ME, Kim G, Yoon HJ, Jo K, et al. Association of non-alcoholic steatohepatitis with subclinical myocardial dysfunction in non-cirrhotic patients. J Hepatol. (2018) 68:764–72. doi: 10.1016/j.jhep.2017.11.023

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Borges-Canha M, Neves JS, Libanio D, Von-Hafe M, Vale C, Araujo-Martins M, et al. Association between nonalcoholic fatty liver disease and cardiac function and structure-a meta-analysis. Endocrine. (2019) 66:467–76. doi: 10.1007/s12020-019-02070-0

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Wijarnpreecha K, Lou S, Panjawatanan P, Cheungpasitporn W, Pungpapong S, Lukens FJ, et al. Association between diastolic cardiac dysfunction and nonalcoholic fatty liver disease: a systematic review and meta-analysis. Dig Liver Dis. (2018) 50:1166–75. doi: 10.1016/j.dld.2018.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Higashiura Y, Furuhashi M, Tanaka M, Takahashi S, Mori K, Miyamori D, et al. Elevated fatty liver index is independently associated with new onset of hypertension during a 10-year period in both male and female subjects. J Am Heart Assoc. (2021) 10:e021430. doi: 10.1161/JAHA.121.021430

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Li G, Peng Y, Chen Z, Li H, Liu D, Ye X. Bidirectional association between hypertension and NAFLD: a systematic review and meta-analysis of observational studies. Int J Endocrinol. (2022) 2022:8463640. doi: 10.1155/2022/8463640

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Fischer M, Baessler A, Hense HV, Hengstenberg C, Muscholl M, Holmer S, et al. Prevalence of left ventricular diastolic dysfunction in the community. Results from a Doppler echocardiographic-based survey of a population sample. Eur Heart J. (2003) 24:320–8. doi: 10.1016/S0195-668X(02)00428-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Mogelvang R, Sogaard P, Pedersen SA, Olsen NT, Marott JL, Schnohr P, et al. Cardiac dysfunction assessed by echocardiographic tissue Doppler imaging is an independent predictor of mortality in the general population. Circulation. (2009) 119:2679–85. doi: 10.1161/CIRCULATIONAHA.108.793471

PubMed Abstract | CrossRef Full Text | Google Scholar

21. de Simone G, Pasanisi F, Contaldo F. Link of nonhemodynamic factors to hemodynamic determinants of left ventricular hypertrophy. Hypertension. (2001) 38:13–8. doi: 10.1161/01.HYP.38.1.13

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wood P, Piran S, Liu PP. Diastolic heart failure: progress, treatment challenges and prevention. Can J Cardiol. (2011) 27:302–10. doi: 10.1016/j.cjca.2011.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Sechi LA, Zingaro L, Catena C, Perin A, De Marchi S, Bartoli E. Lipoprotein(a) and apolipoprotein(a) isoforms and proteinuria in patients with moderate renal failure. Kidney Int. (1999) 56:1049–57. doi: 10.1046/j.1523-1755.1999.00621.x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. J Hypertens. (2018) 36:1953–2041. doi: 10.1097/HJH.0000000000001940

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Catena C, Colussi GL, Verheyen ND, Novello M, Fagotto V, Soardo G, et al. Moderate alcohol consumption is associated with left ventricular diastolic dysfunction in nonalcoholic hypertensive patients. Hypertension. (2016) 68:1208–16. doi: 10.1161/HYPERTENSIONAHA.116.08145

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Catena C, Novello M, Dotto L, De Marchi S, Sechi LA. Serum lipoprotein(a) and alcohol consumption in hypertension: possible relevance for cardiovascular damage. J Hypertens. (2003) 21:281–8. doi: 10.1097/00004872-200302000-00018

PubMed Abstract | CrossRef Full Text | Google Scholar

27. American Diabetes Association Professional Practice Committee. Classification and diagnosis of diabetes: standards of medical care in diabetes 2022. Diabetes Care. (2022) 45(Suppl. 1):S17–38. doi: 10.2337/dc22-S002

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific Statement. Circulation. (2005) 112:2735–52. doi: 10.1161/CIRCULATIONAHA.105.169404

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Catena C, Verheyen N, Pilz S, Kraigher-Krainer E, Tomaschitz A, Sechi LA, et al. Plasma aldosterone and left ventricular diastolic function in treatment-naïve patients with hypertension; tissue-Doppler imaging study. Hypertension. (2015) 65:1231–7. doi: 10.1161/HYPERTENSIONAHA.115.05285

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Brosolo G, Catena C, Da Porto A, Bulfone L, Vacca A, Verheyen ND, et al. Differences in regulation of cortisol secretion contribute to left ventricular abnormalities in patients with essential hypertension. Hypertension. (2022) 79:1435–44. doi: 10.1161/HYPERTENSIONAHA.122.19472

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, et al. Recommendations for chamber quantification: a report from the American Society of Echocardiography’s Guidelines and Standards Committee and Chamber Quantification Writing Group, developed in conjunction with the European Society of Cardiology. J Am Soc Echocardiogr. (2005) 18:1440–63. doi: 10.1016/j.echo.2005.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Nagueh SF, Smiseth OA, Appleton CP, Byrd BF III, Dokainish H, Edvardsen T, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. (2016) 17:1321–60.

Google Scholar

33. VanWagner LB, Wilcox JE, Colangelo LA, Lloyd-Jones DM, Carr JJ, Lima JA, et al. Association of nonalcoholic fatty liver disease with subclinical myocardial remodeling and dysfunction: a population-based study. Hepatology. (2015) 62:773–83. doi: 10.1002/hep.27869

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Mantovani A, Zoppini G, Targher G, Golia G, Bonora E. Non-alcoholic fatty liver disease is independently associated with left ventricular hypertrophy in hypertensive type 2 diabetic individuals. J Endocrinol Invest. (2012) 35:215–8. doi: 10.1007/BF03345421

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Fallo F, Dalla Pozza A, Sonino N, Lupia M, Tona F, Federspil G, et al. Non-alcoholic fatty liver disease is associated with left ventricular diastolic dysfunction in essential hypertension. Nutr Metab Cardiovasc Dis. (2009) 19:646–53. doi: 10.1016/j.numecd.2008.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Fracanzani AL, Valenti L, Bugianesi E, Andreoletti M, Colli A, Vanni E, et al. Risk of severe liver disease in nonalcoholic fatty liver disease with normal aminotransferase levels: a role for insulin resistance and diabetes. Hepatology. (2008) 48:792–8. doi: 10.1002/hep.22429

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Soardo G, Donnini D, Domenis L, Catena C, De Silvestri D, Cappello D, et al. Oxidative stress is activated by free fatty acids in cultured human hepatocytes. Metab Syndr Relat Disord. (2011) 9:297–401. doi: 10.1089/met.2010.0140

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sowers JR. Insulin resistance and hypertension. Am J Physiol Heart Circ Physiol. (2004) 286:H1597–602. doi: 10.1152/ajpheart.00026.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Cauwenberghs N, Knez J, Thijs L, Haddad F, Vanassche T, Yang WY, et al. Relation of insulin resistance to longitudinal changes in left ventricular structure and function in a general population. J Am Heart Assoc. (2018) 7:e008315. doi: 10.1161/JAHA.117.008315

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Khan RS, Bril F, Cusi K, Newsome PN. Modulation of insulin resistance in nonalcoholic fatty liver disease. Hepatology. (2019) 70:711–24. doi: 10.1002/hep.30429

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Sechi LA, Griffin CA, Giacchetti G, Zingaro L, Catena C, Bartoli E, et al. Abnormalities of insulin receptors in spontaneously hypertensive rats. Hypertension. (1996) 27:955–61. doi: 10.1161/01.HYP.27.4.955

CrossRef Full Text | Google Scholar

42. Pisano G, Lombardi R, Fracanzani AL. Vascular damage in patients with nonalcoholic fatty liver disease: possible role of iron and ferritin. Int J Mol Sci. (2016) 17:675. doi: 10.3390/ijms17050675

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Tripodi A, Lombardi R, Primignani M, La Mura V, Peyvandi F, Fracanzani AL. Hypercoagulability in patients with non-alcoholic fatty liver disease (NAFLD): causes and consequences. Biomedicines. (2022) 20:249. doi: 10.3390/biomedicines10020249

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Sechi LA, Zingaro L, Catena C, Casaccio D, De Marchi S. Relationship of fibrinogen levels and hemostatic abnormalities with organ damage in hypertension. Hypertension. (2000) 36:978–85. doi: 10.1161/01.HYP.36.6.978

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: diastolic dysfunction, hypertrophy, insulin resistance, left ventricular mass, liver steatosis, remodeling

Citation: Catena C, Brosolo G, Da Porto A, Donnini D, Bulfone L, Vacca A, Soardo G and Sechi LA (2022) Association of non-alcoholic fatty liver disease with left ventricular changes in treatment-naive patients with uncomplicated hypertension. Front. Cardiovasc. Med. 9:1030968. doi: 10.3389/fcvm.2022.1030968

Received: 29 August 2022; Accepted: 27 September 2022;
Published: 13 October 2022.

Edited by:

Maria Lorenza Muiesan, University of Brescia, Italy

Reviewed by:

Damiano Rizzoni, University of Brescia, Italy
Claudia Agabiti Rosei, University of Brescia, Italy

Copyright © 2022 Catena, Brosolo, Da Porto, Donnini, Bulfone, Vacca, Soardo and Sechi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Leonardo A. Sechi, sechi@uniud.it

These authors have contributed equally to this work and share first authorship

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