ISSN: 2155-9880
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Research Article - (2014) Volume 5, Issue 10
Background: Non-alcoholic fatty liver disease (NAFLD) is a common liver disease. Data is emerging that an independent association between markers of subclinical atherosclerosis and NAFLD exists and it may be considered as an independent predictor of cardiovascular (CV) outcomes. We aim to better characterize the relationship between NAFLD and inflammatory markers in a multi-ethnic cohort by assessing fatty liver on computed tomography (CT) scans.
Methods: The Multi-Ethnic Study of Atherosclerosis (MESA) is a longitudinal, population-based study from four ethnic groups free of CV disease at baseline. The inflammatory markers studied include: C-reactive protein (CRP) and interleukin 6 (IL-6). On CT scans liver-to-spleen ratio (LSR: Hounsfield Units (HU) of the liver divided by HU of spleen) of <1 and liver attenuation of <40 HU were used as criteria for fatty liver. Unadjusted and adjusted multivariate linear and logistic regression analysis was performed.
Results: 4038 participants amongst 6814 MESA population with visible spleen on the CT scan, available CRP and IL-6 levels and no reported liver cirrhosis were included. The average age was 61 ± 10 years, 37% Caucasians and 45% were males. Mean CRP and IL-6 were 2.36 mg/dl and 1.37 pg/ml respectively. 696 participants (17%) had LSR of <1 and 253 (6%) had liver attenuation of <40 HU. When using LSR<1 as a continuous variable, the correlation (adjusted odds ratio (OR) with CRP>2.0 was 0.037 (95% CI: 0.02-0.054) and with IL-6 was 0.014 (95% CI: 0.004-0.023). On the other hand when presence and absence of LSR<1 was considered, higher ORs for association with CRP>2:1.41 (95% CI: 1.16 to 1.73) and IL6:1.18 (95% CI: 1.05 to 1.31) were found. Similarly, the adjusted association of per unit decrease in liver attenuation with CRP>2 was 1.92 (95% CI: 1.20 to 2.63) while for IL-6 was 1.08 (95% CI: 0.69 to 1.47). When considering presence and absence of liver attenuation <40 HU the OR for CRP>2 was 2.27 (95% CI: 1.62 to 3.16) and for IL-6 was 1.33 (95% CI: 1.13 to 1.58).
Conclusion: CRP and IL-6 levels were found to be significantly associated with liver fat assessed on CT scan after adjusting for other risk factors for atherosclerosis.
Keywords: Inflammation; Non-alcoholic fatty liver disease; Computed tomography scan; C-reactive protein
In recent years alongside the obesity epidemic, the prevalence of non-alcoholic fatty liver disease (NAFLD) has increased significantly around the globe [1,2]. It includes different degrees of liver involvement ranging from fatty liver to non-alcoholic steatohepatitis (NASH), to hepatic cirrhosis and hepatocellular carcinoma. A strong association of NAFLD with metabolic syndrome has been acknowledged [3-6]. Despite presence of a significant overlap of NAFLD with all the classic risk factors of atherosclerosis (age, hyperlipidemia [elevated LDL, TG and low HDL], smoking, systolic blood pressure, family history of premature coronary artery disease [CAD], diabetes mellitus [DM]) and fatty liver; data is emerging that NAFLD may be an independent predictor of cardiovascular disease (CVD) as well as adverse cardiovascular (CV) outcomes [7-11]. Elevated serum markers of inflammation are shown to be associated with coronary artery disease (CAD) [12,13]. Now, with on-going research in this area, NAFLD, assessed using elevated liver enzymes or by imaging, is linked to both coronary artery calcification (CAC) as well as with subclinical inflammatory markers of atherosclerosis; independent of abdominal obesity [14-16].
A computed tomography (CT) scan of the chest has established itself as a useful tool to assess CAC and to assess for coronary plaque with contrast enhanced imaging [17,18]. IL-6 has been shown to be associated with insulin resistance in obese individuals with and without diabetes and has been proposed as a mediator of NAFLD [19,20]. Similarly, CRP has been related in multiple studies to inflammation and to liver steatosis [21]. In the MESA cohort, where noncontract CT scans are performed to assess for CAC; in patients where upper abdomen was included in the scan, we aim to look at the association of inflammatory markers (CRP and IL-6) with CT assessment of NAFLD.
The goal of our study is to determine, if by extending the scanned area, during CAC assessment, to include the upper abdomen (liver and spleen); with an insignificant increase in radiation exposure, a more comprehensive CAD risk assessment can be performed. We aim to better characterize the relationship of NAFLD with inflammatory markers, in a large multi-ethnic population based cohort.
MESA study population
The Multi-Ethnic Study of Atherosclerosis (MESA) is a longitudinal, population-based study of 6,814 men and women aged 45-84 years, from four ethnic groups free of CV disease at baseline recruited from 6 US communities (Baltimore, MD; Chicago, IL; Forsyth County, NC; Los Angeles County, CA; Northern Manhattan, NY; and St. Paul, MN). Baseline CAC scores were measured. Information about age, gender, ethnicity, and medical history was obtained by questionnaires. Current smoking was defined as having smoked a cigarette in the last 30 days. Alcohol consumption was assessed using three questions, ever consumed alcohol (Yes/No)?; currently drinking (Yes/No)?; and what was the largest # of drinks in one day in the past month? Alcohol consumption was categorized in three groups based on ever consumption and largest number of drinks per day: no consumption or moderate consumption (0-1 drinks/day for women and 0–2 drinks/day for men), high consumption (2-3 drinks/day for women and 3-4 drinks/day for men) and heavy drinking (defined as 4+ drinks/day for women and 5+ drinks/day for men). DM was defined as a fasting glucose>126 mg/dL or use of hypoglycemic medications. Use of antihypertensive and other medications was based on clinical staff entry of prescribed medications verified by the staff. Resting blood pressure was measured 3 times in the seated position, and the average of the second and third readings was recorded. Hypertension was defined as a systolic blood pressure>140 mm Hg, diastolic blood pressure >90 mm Hg, or use of medication prescribed for hypertension. Body mass index (BMI) was calculated from the equation weight (kg)/ height (m2). Total and high-density lipoprotein cholesterol were measured from blood samples obtained after a 12-hour fast. Low-density lipoprotein cholesterol was estimated by the Friedewald equation [22].
Cardiac computed tomography (CCT) image acquisition in the MESA study:
The computed tomography scanning of the chest was performed either with an ECG-triggered (at 80% of the RR interval) electron-beam computed tomography scanner (Chicago, Los Angeles, and New York field centers; Imatron C-150, Imatron, San Francisco, CA) or with prospectively ECG-triggered scan acquisition at 50% of the RR interval with a multidetector computed tomography system that acquired simultaneous 2.5-mm slices for each cardiac cycle in a sequential or axial scan mode (Baltimore, Forsyth County, and St. Paul field centers; LightSpeed, General Electric, Piscataway, NJ, or Volume Zoom, Siemens, New York, NY). Each participant underwent two consecutive non-enhanced cardiac computed tomography scans during a single session during breath hold to reduce motion artifacts and improving image quality of the coronary arteries. Each scan was performed from carina to below the apex of the heart that contains images of the liver and spleen. The protocol of scanner parameters and scanning details are reported previously [23].
Measurement of inflammatory markers and other laboratory testing-MESA study
The inflammatory markers studied include: CRP and IL-6. Fasting blood was drawn, processed and stored using standardized procedures. CRP was measured using a BNII nephelometer (N high sensitivity CRP; Dade Behring Inc.). The intra-assay coefficients of variation (CoVs) were 2.3%-4.4% and the inter-assay CoVs were 2.1%-5.7% with a detection level of 0.18 mg/L.A CRP level =2 mg/L was chosen as the cut-off for significant inflammation used to determine eligibility in the Justification for the Use of Statins in Prevention: An Intervention Trial Evaluating Rosuvastatin (JUPITER) clinical trial. IL-6 was measured using ultra-sensitive ELISA (Quantikine HS Human IL-6 Immunoassay; R&D Systems, Minneapolis, MN) with an analytical CoV of 6.3% and a detection level of 0.04 pg/mL. Plasma lipids including high-density lipoprotein (HDL) cholesterol and triglycerides were measured using the Roche Hitachi 911 analyzer (Roche Diagnostics, Indianapolis, IN) [24].
MESA population included in our study
Amongst the total MESA population of 6814 participants, 2425 participants without visible liver or spleen on CT scan were excluded. Another 220 participants with excessive alcohol use, 7 self-reported cirrhosis, 31 with missing CRP and 93 with missing IL-6 values were excluded. Total number of participants included in our study was 4038.
Liver fat measurement on CCT: Two readers analyzed the scans independently blinded to the demographic data. Both scans for each participant were examined; the scan with the largest span was selected for measurement of liver fat. Hepatic and splenic HU attenuation values were measured using regions of interest (ROI) greater than 100 mm2 in area. There were two ROI placed in the right liver lobe antero-posteriorly, one ROI in the left liver lobe and one ROI in the spleen. ROI with larger areas were used, whenever possible, to include a greater area of the liver and spleen with caution to exclude regions of non-uniform parenchymal attenuation, including hepatic vessels (Figure 1).
Figure 1: Measurement of liver fat on Non Contrast Computed Tomography Scans (Regions of interest shown in the liver and spleen)
L/S ratio was calculated by taking mean HU measurement of both liver lobes ROIs and dividing it by the spleen HU measurement. To provide an internal control, the mean splenic attenuation was also calculated by averaging three random ROI values of splenic attenuation on three transverse sections at different splenic levels (one ROI per section). L/S ratio<1.0 was taken as the cut-point for the diagnosis of presence of liver fat. As another parameter, liver attenuation <40 HU was used as a cut-off of >30% liver fat content. A high inter and intra observer reproducibility of liver and spleen attenuation measurements was found [25].
Statistical analysis
NAFLD on CCT was defined using L/S ratio<1.0 and liver attenuation <40 HU. Comparisons between L/S ratio<1.0 with demographic measures and cardiovascular risk factors were expressed using means and proportions. We used the Chi square test for proportions and t-tests for comparing levels of continuous risk factors.
To evaluate the association between inflammatory markers and NAFLD, we used multivariate linear and logistic regression. CRP and IL-6 were modeled continuously and due to their skewness were both log transformed to the base 2 to allow for easier interpretation (per doubling of biomarker). Models were adjusted for age, gender, race/ethnicity and education and additionally for CV risk factors ([Body mass index BMI], smoking, hypertension, diabetes, low density lipoprotein [LDL] cholesterol, HDL, and lipid-lowering medications) triglycerides and blood glucose.
Statistical analyses were performed with SPSS 16.0.2 software for Windows (SPSS Inc, Chicago, Illinois). A p-value<0.05 was considered statistically significant. Confidence intervals are expressed as 95% confidence intervals.
The demographic data for our participant population is given in Table 1, The average age was 61 ± 10 years, 37% Caucasians and 45% were males. Mean CRP and IL-6 were 2.36 mg/dl and 1.37 pg/ml. 696 participants (17%) had LSR of <1, while 253 participants (6%) had liver attenuation of HU<40. A trend toward higher education associated with LSR =1 was noted. 25% of the participants with LSR<1 vs. 18% in the =1 group had less than high school level education, whereas 28% vs. 35% in each group respectively had college or more level education. In regards to ethnicity more Hispanics were found to have decreased LSR. No differences in smoking were identified in patients with any without fatty liver. Similarly, LSR<1 was significantly more common with: lower HDL, higher TG, increased waist circumference and random sugar levels.
Liver-to-Spleen Ratio | |||
---|---|---|---|
No. (%) or mean (±SD) | =1 | <1 | p-value |
N | 3342 | 696 | <0.001 |
Age | 63 (11) | 61 (10) | 0.456 |
Male | 1485 (44%) | 320 (46%) | <0.001 |
Race | |||
White | 1271 (38%) | 231 (33%) | 0.016 |
Chinese | 319 (10%) | 79 (11%) | 0.146 |
African-American | 1058 (32%) | 135 (19%) | <0.001 |
Hispanic | 694 (21%) | 251 (36%) | <0.001 |
Education | |||
592 (18%) | 173 (25%) | <0.001 | |
HS + non-college level | 1588 (48%) | 327 (47%) | 0.799 |
College or more | 1148 (35%) | 193 (28%) | 0.001 |
Smoking | 0.097 | ||
Never | 1720 (52%) | 389 (56%) | 0.032 |
Former | 1230 (37%) | 230 (33%) | 0.061 |
Current | 379 (11%) | 74 (11%) | 0.592 |
Body Mass Index (kg/m2) | 28.1 (5.2) | 31.1 (5.4) | <0.001 |
Diabetes | 387 (12%) | 157 (23%) | <0.001 |
Hypertension | 1529 (46%) | 370 (53%) | <0.001 |
SBP | 127 (22) | 130 (21) | 0.001 |
DBP | 70 (10) | 73 (10) | <0.001 |
HTN Meds | 1274 (38%) | 309 (44%) | 0.002 |
LDL | 118 (31) | 116 (31) | 0.162 |
HDL | 52 (15) | 45 (12) | <0.001 |
Triglycerides* | 105 [75, 152] | 154 [107, 209] | <0.001 |
Lipid lowering meds | 540 (16%) | 122 (18%) | 0.379 |
Coagulation Markers | |||
CRP (mg/L)* | 1.79 [0.81, 1.87] | 2.94 [1.37, 6.28] | <0.001 |
IL-6 (pg/mL)* | 1.23 [0.78, 1.87] | 1.52 [1.02, 2.37] | <0.001 |
Waist circumference | 97.4 (13.7) | 105.7 (13.4) | <0.001 |
Glucose | 95.7 (28.5) | 108.5 (39.2) | <0.001 |
Table 1: Baseline characteristics among MESA participants with and without NAFLD (LSR<1)
*Median [IQR]
Significantly increased CRP and IL-6 levels were seen in patients with lower LSR. The median CRP (mg/ml) in patients with LSR<1 was 2.94(IQR: 1.37-6.28) vs. 1.79 (IQR:0.81-1.87) in participants with LSR =1, p<0.001. Similarly, the median IL-6 (mg/ml) was 1.52 (IQR:1.02-2.37) vs. 1.23(IQR:0.78-1.87) in these groups respectively, p<0.001.
Tables 2 and 3 shows the association of CRP and IL-6 with fatty liver on CCT. In table 2 CRP and IL6 are used as continuous variables, with values expressed as per unit increase or decrease. In table 3, CRP and IL6 are expressed as dichotomous variables.
Biomarker | Unadjusted (95% CI) | Adjusted* ß (95% CI) |
---|---|---|
LSR (per unit decrease) | ||
CRP (per doubling) | 0.023 (0.028, 0.018) | 0.015 (0.009, 0.020) |
CRP = 2.00 | 0.063 (0.046, 0.079) | 0.037 (0.020, 0.054) |
IL-6 (per doubling) | 0.027 (0.018, 0.036) | 0.014 (0.004, 0.023) |
Liver attenuation (per unit decrease) |
||
CRP (per doubling) | 1.47 (1.26, 1.68) | 0.81 (0.58, 1.03) |
CRP = 2.00 | 3.85 (3.15, 4.55) | 1.92 (1.20, 2.63) |
IL-6 (per doubling) | 2.13 (1.76, 2.50) | 1.08 (0.69, 1.47) |
Table 2a: Association of CRP & IL-6 with NAFLD defined by continuous liver-to-spleen ratio and liver attenuation
Biomarker | Unadjusted Β(95% CI) |
Adjusted* Β (95% CI) |
---|---|---|
LSR (per unit decrease) | ||
CRP Quartiles | ||
<0.85 | 0 (ref) | 0 (ref) |
0.85-1.92 | 0.017 (-0.006, 0.040) | -0.001 (-0.024, 0.021) |
1.93-4.26 | 0.062 (0.039, 0.085) | 0.033 (0.009, 0.056) |
>4.26 | 0.089 (0.066, 0.112) | 0.046 (0.021, 0.070) |
IL-6 Quartiles | ||
<0.79 | 0 (ref) | 0 (ref) |
0.79-1.21 | 0.032 (0.009, 0.056) | 0.014 (-0.009, 0.038) |
1.22-1.89 | 0.049 (0.026, 0.072) | 0.029 (0.005, 0.053) |
>1.89 | 0.079 (0.056, 0.102) | 0.043 (0.018, 0.068) |
Liver attenuation (per unit decrease) | ||
CRP Quartiles | ||
<0.85 | 0 (ref) | 0 (ref) |
0.85-1.92 | 2.02 (1.03, 3.00) | 0.84 (-0.10, 1.77) |
1.93-4.26 | 3.97 (2.98, 4.96) | 1.92 (0.95, 2.89) |
>4.26 | 6.20 (5.21, 7.18) | 3.08 (2.05, 4.11) |
IL-6 Quartiles | ||
<0.79 | 0 (ref) | 0 (ref) |
0.79-1.21 | 2.54 (1.52, 3.55) | 1.35 (0.39, 2.32) |
1.22-1.89 | 3.72 (2.73, 4.71) | 2.15 (1.17, 3.13) |
>1.89 | 5.98 (4.99, 6.97) | 3.17 (2.13, 4.21) |
Table 2b: Association of Quartiles CRP & IL-6 with NAFLD defined by continuous liver-to-spleen ratio and liver attenuation
Biomarker | Unadjusted Odds Ratio (95% CI) | Adjusted* Odds Ratio (95% CI) |
---|---|---|
LSR<1 | ||
CRP (per doubling) | 1.28 (1.22, 1.35) | 1.15 (1.08, 1.23) |
CRP = 2.00 | 1.96 (1.65, 2.32) | 1.41 (1.16, 1.73) |
IL-6 (per doubling) | 1.42 (1.30, 1.55) | 1.18 (1.05, 1.31) |
Liver attenuation<40HU | ||
CRP (per doubling) | 1.44 (1.33, 1.57) | 1.31 (1.18, 1.45) |
CRP = 2.00 | 3.11 (2.32, 4.18) | 2.27 (1.62, 3.16) |
IL-6 (per doubling) | 1.60 (1.40, 1.83) | 1.33 (1.13, 1.58) |
Table 3a: Association of CRP & IL-6 with NAFLD defined by dichotomous liver-to-spleen ratio and liver attenuation <40 HU
Biomarker | Unadjusted Odds Ratio (95% CI) |
Adjusted* Odds Ratio (95% CI) |
---|---|---|
LSR<1 | ||
CRP Quartiles | ||
<0.85 | 1.00 (ref) | 1.00 (ref) |
0.85-1.92 | 1.43 (1.08, 1.89) | 1.09 (0.81, 1.46) |
1.93-4.26 | 2.20 (1.69, 2.87) | 1.49 (1.11, 1.99) |
>4.26 | 2.85 (2.21, 3.69) | 1.66 (1.23, 2.24) |
IL-6 Quartiles | ||
<0.79 | 1.00 (ref) | 1.00 (ref) |
0.79-1.21 | 1.80 (1.35, 2.39) | 1.48 (1.09, 2.00) |
1.22-1.89 | 2.18 (1.66, 2.87) | 1.62 (1.20, 2.20) |
>1.89 | 2.88 (2.21, 3.76) | 1.75 (1.28, 2.39) |
Liver attenuation<40HU | ||
CRP Quartiles | ||
<0.85 | 1.00 (ref) | 1.00 (ref) |
0.85-1.92 | 1.34 (0.79, 2.28) | 0.95 (0.55, 1.64) |
1.93-4.26 | 3.08 (1.93, 4.93) | 2.03 (1.23, 3.34) |
>4.26 | 4.59 (2.92, 7.22) | 2.51 (1.51, 4.18) |
IL-6 Quartiles | ||
<0.79 | 1.00 (ref) | 1.00 (ref) |
0.79-1.21 | 1.56 (0.94, 2.60) | 1.25 (0.74, 2.12) |
1.22-1.89 | 2.42 (1.52, 3.87) | 1.76 (1.06, 2.92) |
>1.89 | 4.01 (2.57, 6.26) | 2.41 (1.44, 4.03) |
Table 3b: Association of Quartiles CRP and IL-6 with NAFLD defined by dichotomous liver-to-spleen ratio and liver attenuation <40 HU
Association of LSR<1 with CRP>2 and IL-6
For LSR<1 (continuous variable), the adjusted odds ratio (OR) for association with CRP>2.0 was 0.037 (0.02-0.054) while with IL-6 was 0.014 (0.004-0.023). For LSR<1 as a dichotomous variable the association with CRP>2 was 1.41 (1.16 to 1.73) and for IL6 was 1.18 (1.05 to 1.31).
*Adjusted for age, gender, race, education, BMI, smoking, hypertension, diabetes, LDL cholesterol, HDL cholesterol, lipid lowering medications, triglycerides, waist circumference and glucose.
Association of liver HU<40 with CRP>2 and IL-6
Adjusted OR for the association of per unit decrease in liver attenuation with CRP>2 was 1.92 (1.20 to 2.63) while for IL-6 was 1.08 (0.69 to 1.47). Using liver attenuation<40 HU as a dichotomous variable the OR with CRP>2 was 2.27 (1.62 to 3.16) and for IL-6 was 1.33 (1.13 to 1.58).
*Adjusted for age, gender, race, education, BMI, smoking, hypertension, diabetes, LDL cholesterol, HDL cholesterol, lipid lowering medications, triglycerides, waist circumference and glucose.
Table 3b shows the relationship of both LSR<1.0 and liver attenuation <40 with increasing quartiles of CRP and IL-6. With increasing quartiles of CRP and IL-6, higher OR for the association was seen. Adjusted for all the traditional risk factors for atherosclerosis, an increase in CRP was associated with increased OR for both LSR<1 and liver HU<40. As CRP increased from <0.85 to >4.26, the prevalence (OR) of LSR<1 and liver HU<40, increased from 1.09 to 1.66 and 0.95 to 2.51 respectively. Similarly, an increase in IL-6 from <0.79 to >1.89 was associated with increase in OR for association with LSR<1 from 1.48 to 1.75 and an increase in prevalence of HU<40 from 1.25 to 2.41.
*Adjusted for age, gender, race, education, BMI, smoking, hypertension, diabetes, LDL cholesterol, HDL cholesterol, lipid lowering medications, triglycerides, waist circumference and glucose.
*Adjusted for age, gender, race, education, BMI, smoking, hypertension, diabetes, LDL cholesterol, HDL cholesterol, lipid lowering medications, triglycerides, waist circumference and glucose.
In a large multi-ethnic cohort of MESA participants, our study shows an independent, significant association between inflammatory markers and liver fat measured on computed tomography (CCT). This association was found to be stronger with increasing levels of CRP and IL-6.
NAFLD is increasingly detected, on liver biopsy, liver function analysis and imaging studies inclusive of: abdominal ultrasound, CT, magnetic resonance angiography (MRA) and spectroscopy. In our multi-ethnic population, the prevalence of fatty liver based on CT-LSR<1 was 17%. A significant overlap exists between NAFLD and other classic and non-traditional risk factors of atherosclerosis. In our participants, increased fatty liver was seen with increased BMI and with presence of DM and HTN.
In the present study, we did not look at the association of NAFLD with presence of CAD and major adverse cardiac events. However, in several longitudinal studies, NAFLD, like other CV risk factors, is seen as an independent predictor of cardiovascular disease (CVD), cerebrovascular disease, and its associated mortality and morbidity. In a study on type II diabetic individuals, presence of NAFLD significantly increased the prevalence of coronary (23% vs. 15.5%), cerebrovascular (17.2% vs. 10.2%) and peripheral vascular disease (12.8% vs. 7%). In pediatric obese population and in adults [26-31]. NAFLD was related to significantly increase carotid artery intima-media thickness (IMT). It has also been shown to be an independent predictor of calcific and non-calcific non-obstructive coronary plaque20. In the Jackson heart study, conducted in African Americans, where non contrast CT scan was used to assess for fatty liver, liver attenuation per 1 standard deviation decrement was associated inversely with CAC in multivariable-adjusted models (OR 0.89, 95% CI: 0.8-0.9,p=0.01).
Several small studies in patients with NAFLD in which long term follow up was performed, CVD was the second most common cause of death [32-34]. In an Olmsted county study, the overall mortality of 420 NAFLD patients was significantly increased over a mean follow-up of 7.6 years compared to the general population, and CVD was among the most common causes of death [10]. This finding was repeatedly noticed in the NHANES III participants [35,36].
NAFLD is characterized as a chronic inflammatory condition, however, it remains unclear and controversial as to if it is related to, or, independent of the presence of visceral adiposity. Our study agrees with the prior work that has shown an independent association of fatty liver with inflammatory markers, which explains the increased prevalence of cardiovascular morbidity and mortality in patients with NASH. Van Der Poorten identified visceral fat volume (assessed by MRA) and IL-6 to be independently associated with inflammation and fibrosis [37]. Similarly, Kolak et al. noted adipose tissue inflammation to be present only in individuals with hepatic steatosis independent of obesity [38]. This suggests inflammation to be dependent on NAFLD or NAFLD causing inflammation and leading to CVD. In our study, IL-6 and CRP were used as markers of inflammation. Wieckowska et al., found IL-6 and CRP levels, in the presence of hepatic steatosis to be associated with higher degree of liver fibrosis and inflammation [39]. In overweight, male patients with biopsy proven NAFLD, presence of Inflammation was directly associated with NAFLD, independent of visceral obesity [27,40-42,]. Jackson heart study found no interaction between liver attenuation on CCT and abdominal visceral fat when looking at the prevalence of CAC. Ndumele 16 in a recent study on 2388 patients, found a significantly high independent association of hepatic steatosis on liver ultrasound (OR 2.07(1.68-2.56) with hsCRP>3 mg/L. Hepatic steatosis when combined with other traditional risk factors of atherosclerosis was found to cause an additive increase in hsCRP is. We believe that regardless of abdominal adiposity, an inflamed fatty liver produces further pro-inflammatory cytokines with atherogenic effects on both cardiovascular and cerebrovascular system. This knowledge holds great clinical utility and can help plan preventive and therapeutic strategies.
Liver biopsy with limitations due its invasiveness is currently the gold standard for diagnosing NAFLD. There are constraints associated with all the non-invasive imaging modalities in regards to assessment for NAFLD. For example, the ultrasound gives accurate assessment of fatty liver, when >33% of the liver is affected [43]. Liver fat on CCT was found to have a sensitivity and specificity of 78% and 72% respectively (using magnetic resonance spectroscopy as a gold standard), to assess for hepatic steatosis [44]. We propose, that since non-contrast CT is widely available and used for the evaluation of CAC in asymptomatic low to intermediate Framingham risk patients, it can also be utilized as a further risk re-stratification tool, based on the assessment of fatty liver, without additional radiation exposure or expense from already acquired data [45].
Non-contrast computed tomography was the primary and only assessment tool in our study, as it relates to the assessment of liver fat. No comparison with any other non-invasive imaging modality or liver biopsy was performed. In the MESA participants, liver enzymes were not measured, and thus were unavailable as laboratory markers in our study. Additionally, in the MESA study, the data on secondary causes of hepatic steatosis, other than alcohol use were not measured. The alcohol intake was measured in drinks/day with the exact grams of alcohol consumed/day not determined. No outcome analyses were performed based on liver fat assessment. Only two inflammatory markers were analyzed for the association. The association of liver fat and inflammatory markers was not studied with the presence of coronary artery calcium and with metabolic syndrome. However these are addressed in future studies on the MESA population.
In a large multi-ethnic cohort, our study showed a significant independent association between IL-6 and CRP and liver fat measured on computed CT scan with strengthening relationship with increasing levels of IL-6 and CRP. It is possible to obtain additional information as it relates to fatty liver on CT scan at the time of CAC measurement. This would help us further risk stratify asymptomatic individuals with low to intermediate risk for CAD, based on traditional risk categorization. Future large population based studies need to be performed, to reproduce the same results, before liver fat can be used as one of markers for inflammation, cardiovascular atherosclerosis and CAD.