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Obesity interacts with hyperuricemia on the severity of non-alcoholic fatty liver disease

BMC Gastroenterology volume 21, Article number: 43 (2021) Cite this article

Abstract

Background

A series of evidence revealed that body mass index was an important confounding factor in the research of uric acid and ischemic heart disease/hypertension. The objective of this study was to investigate whether obesity status can modify the association between serum uric acid and the severity of liver damage in NAFLD, and the possible interactive effect of hyperuricemia and obesity.

Methods

We conducted a cross-sectional study in a total of 557 ultrasound diagnosed-NAFLD. The hepatic steatosis and liver fibrosis were quantitatively evaluated by transient elastography. Hyperuricemia was defined as serum uric acid > 420 μmol/L in men, > 360 μmol/L in women and obesity was defined as body mass index ≥ 25 kg/m2. The adjusted OR values of hyperuricemia and obesity were analyzed by multivariate logistic regression analysis, and the additive model was used to investigate the possible interactive effect.

Results

Multivariate regression analysis showed that hyperuricemia was associated with serious hepatic steatosis (1.74[1.09–2.79]) and elevated ALT (2.17[1.38–3.41]), but not with advanced fibrosis (1.61[0.91–2.85]). The association was further investigated in different BMI group. Hyperuricemia was associated with higher odds of serious hepatic steatosis (2.02[1.14–3.57]) and elevated ALT (2.27[1.37–3.76]) only in obese NAFLD, not in non-obese subjects. Similarly, patients with hyperuricemia had higher odds of advanced fibrosis in obese subjects (2.17[1.13–4.18]), not in non-obese subjects (0.60[0.14–2.70]). Furthermore, there was an additive interaction between hyperuricemia and obesity on the odds of serious hepatic steatosis (AP: 0.39[0.01–0.77]) and advanced fibrosis. (AP: 0.60[0.26–0.95]).

Conclusions

Hyperuricemia and obesity had a significantly synergistic effect on the hepatic steatosis and fibrosis. Thus, management of uric acid may need to be targeted in obese NAFLD.

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Background

Non-alcoholic fatty liver disease (NAFLD) is the most rapidly growing chronic liver disease and epidemiological data indicates that the prevalence of NAFLD is currently 25% globally [1]. Nowadays, China is in a period of rapid growth of NAFLD, and national prevalence is up to 29.2% [2].It is commonly accepted that NAFLD can increase the risk of cirrhosis and hepatocellular carcinoma, NAFLD‐cirrhosis or NAFLD‐hepatocellular carcinoma (HCC) ranks the second in the indication for liver transplantation in the United State [3]. The annual direct medical costs are about $103 billion ($1613 per patient) in the USA and €35 billion (from €354 to €1,163 per patient) in the Europe [4]. NAFLD is closely related to metabolic syndrome and its related conditions, including obesity, type 2 diabetes, dyslipidemia, hypertension and hyperuricemia.

Previous studies have revealed an independent link between hyperuricemia and the severity of liver damage in NAFLD. A biopsy-based study has demonstrated that hyperuricemia is associated with the severity of steatosis, lobular inflammation and nonalcoholic fatty liver disease activity score (NAS) [5]. Similar findings were reported that hyperuricemia is associated with NAS score in children and adolescents [6, 7]. However, some previous studies have found a negative correlation between serum uric acid levels (SUA)and fibrosis stage [8, 9]. Whereas a meta-analysis has revealed that hyperuricemia is not associated with fibrosis in patients with NAFLD [10]. The association between SUA and fibrosis is controversial.

Obesity is an established risk factor for the occurrence and development of NAFLD. Recently, a series of evidence reveal that body mass index (BMI) is an important confounding factor in the research of uric acid and metabolic diseases. Based on the data from two large prospective cohort study, Palmer shows that uric acid has no causal effect on the risk of ischemic heart disease and blood pressure. This conclusion is inconsistent with previous studies mainly due to the confounding role of BMI [11]. The Tromsø Study from Europe reveals that baseline level of uric acid independently predicts occurrence of elevated blood pressure and elevated fasting glucose in the overweight, but not in normal-weight group, and further put forward that hyperuricemia might be treated differently in normal-weight and overweight individuals [12]. Similarly, a research based on Korean population demonstrates that the level of SUA is related to an increased risk of metabolic syndrome in non-obese population, but not in obese individuals [13].

Hence, we assume that it is of importance to take obesity status into account to investigate the association between hyperuricemia and the severity of NAFLD, particularly in the liver fibrosis. The objective of this study was to investigate whether obesity status can modify the association between serum uric acid and the severity of liver damage in NAFLD, and the possible interactive effect of hyperuricemia and obesity.

Methods

Participants

A total of 557 ultrasound diagnosed-NAFLD patients from the Second Affiliated Hospital of Xi'an Jiaotong University during March 2014 to January 2018 were included in this cross-sectional study. NAFLD was defined as hepatic steatosis detected by abdominal ultrasound, which was evaluated by two experienced sonographers independently. If there was an inconsistent diagnosis, the third sonographer was needed for evaluation. Exclusion criteria: (1) excessive alcohol consumption (> 20 g/day in man and 10 g/day in women) (2) use of steatogenic medications within the past 6 months (3) positive tests for hepatitis B surface antigen and hepatitis C antibody (4) drug-induced liver injury and autoimmune hepatitis (5) cirrhosis and other causes of liver disease (hemochromatosis, Wilson’s disease) [14]. Patients were divided into normouricemia group and hyperuricemia group according to the level of SUA, and further stratified into non-obese group and obese group based on BMI. Hyperuricemia was defined as SUA > 420 μmol/L in men, > 360 μmol/L  in women [15]. According to Asia–Pacific BMI criteria, obesity was defined as BMI ≥ 25 kg/m2 and non-obesity was BMI < 25 kg/m2 [16]. All patients received B-ultrasound and Fibro Touch examination at the same time. The study design was approved by the Ethics Committee of Xi'an Jiaotong University complying with Declaration of Helsinki and all participants have signed the written informed consent.

Demographic and biochemical data of participants

Demographic data was derived from the electronic medical record, including age, gender, height, weight, blood pressure, history of hypertension/diabetes/underlying liver disease/alcohol consumption (specific alcohol consumption). Biochemical markers were as follows: alanine transaminase (ALT), fasting plasma glucose (FPG), serum uric acid (SUA), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), platelets (PLT).

Assessment of the hepatic steatosis and fibrosis

Transient elastography (FibroTouch) was performed to assess hepatic steatosis (CAP value) and fibrosis (LSM value) quantitatively. It was conducted by a trained operator who had performed at least 500 operations. The available measurement needed to satisfy the following conditions: (1) At least 10 valid measurements were obtained, and the success rate > 60%. (2) IQR/M of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) < 30%.

The severity of NAFLD was evaluated ranging from serious hepatic steatosis, elevated ALT to advanced fibrosis. Hepatic steatosis was divided into two groups according to CAP value: Mild steatosis ≤ 265 dB/m; Serious steatosis (moderate or severe steatosis) > 265 dB/m. Elevated ALT was defined as ALT level > 40 IU/L [17, 18]. Considering that the diagnostic accuracy of LSM was affected by obesity, we applied an algorithm of a serial combination strategy of FIB-4 and LSM to distinguish NAFLD with intermediate to high risk of advanced fibrosis [19]. This algorithm was confirmed with an increase of diagnostic accuracy, compared to LSM alone [20]. FIB-4 index = (age × AST)/(PLT × ALT1/2).

Definition of metabolic syndrome

Considering the close relationship between metabolic syndrome and NAFLD, the components of metabolic syndrome were adjusted in multivariate regression analysis. The diagnosis of metabolic syndrome needed to meet at least three of the following criteria [21]: (1)central obesity: BMI ≥ 25 kg/m2 in both genders; (2) hypertriglyceridemia: triglycerides ≥ 1.7 mmol/L, or in therapy; (3) low HDL-C: HDL-C < 1.03 mmol/L in men and < 1.29 mmol/L in women; (4) elevated blood pressure: blood pressure ≥ 130/85 mmHg, or diagnosed hypertension; (5) elevated fasting glucose: FPG ≥ 5.6 mmol/L or diagnosed type 2 diabetes.

Statistical analysis

Continuous variables were shown as mean with standard deviation and compared using the t-test. Categorical variables were summarized as frequencies with percentages and compared by chi-square analysis. Multivariable logistic regression analysis was performed to determine the adjusted odds ratios (ORs) for serious hepatic steatosis, elevated ALT and advanced fibrosis. A method proposed by Rothman was used to test for additive interaction between hyperuricemia and obesity. The Excel software proposed by Andersson was used to quantify the amount of additive interaction, including the relative excess risk due to the interaction (RERI), the attributable proportion due to the interaction (AP) and the synergy index(S). Zero within the 95% confidence interval of RERI and AP indicated no additive interaction, and one within the 95% confidence interval of S indicated no additive interaction. SPSS 18.0 was used for statistical analysis, and P < 0.05 was considered to be significant.

Results

Characteristic of participants

Characteristics of patients were shown in Table 1 according to SUA concentration. The average age and BMI of all patients was 50.77 ± 13.66 years and 26.99 ± 3.18 kg/m2, and 61.8% of NAFLD was male. The prevalence of metabolic syndrome and hyperuricemia was 72% and 23.9%, respectively. With regards to the incidence of components of metabolic syndrome, the highest incidence was 73.8% in central obesity, followed by low HDL-C, elevated fasting glucose and hypertriglyceridemia with an incidence of 64.1%, 61.4% and 61.2%, and the lowest was 46.7% in elevated blood pressure. In terms of the severity of NAFLD, the proportion of serious hepatic steatosis, elevated ALT and advanced fibrosis were 57.6%, 34.6% and 16.7%. Compared with normouricemia group, patients in the hyperuricemia group were younger and had higher BMI and triglyceride levels, but there was no difference in the distribution of other metabolic component. Moreover, hyperuricemia group had more serious hepatic steatosis and elevated ALT, but not advanced fibrosis.

Table 1 Characteristics of patients according to the level of blood uric acid
Full size table

Obesity did modify the association between hyperuricemia and the severity of NAFLD

The adjusted ORs of hyperuricemia for the severity of NAFLD were shown in Table 2. Compared to patients with normouricemia, hyperuricemia individuals had increased odds of serious hepatic steatosis (1.74[1.09–2.79]) and elevated ALT (2.17[1.38–3.41]), not of advanced fibrosis (1.61[0.91–2.85]). Furthermore, we investigated the associations between hyperuricemia and the severity of NAFLD in different BMI group. Multivariate regression analysis showed hyperuricemia was associated with higher odds of serious hepatic steatosis (2.02[1.14–3.57]) and elevated ALT (2.27[1.37–3.76])) in obese NAFLD, not in non-obese subjects. Surprisingly, patients with hyperuricemia had higher odds of advanced fibrosis in obese subjects (2.17[1.13–4.18]), not in non-obese subjects (0.60[0.14–2.70]).

Table 2 Obesity did modify the association between hyperuricemia and the severity of NAFLD
Full size table

The individual and combined associations of hyperuricemia and obesity with the severity of NAFLD

Furthermore, patients were categorized into four groups according to the level of SUA and BMI: Control group (normouricemia and non-obesity). Hyperuricemia group (hyperuricemia and non-obesity), Obese group (normouricemia and obesity), Obese-hyperuricemia group (hyperuricemia and obesity). Compared with the control group, the ORs for the severity of liver damage in NAFLD were shown in Table 3. After adjusting for age, gender, TG, low HDL-C, elevated fasting glucose, elevated blood pressure, we found that patients in obese group had higher ORs for serious hepatic steatosis (3.32[2.09–5.28]) and elevated ALT (1.88[1.09–3.23]), not in hyperuricemia group (serious hepatic steatosis, 1.53[0.64–3.65]; elevated ALT, 2.13[0.77–5.93]). When hyperuricemia and obesity were present together, the ORs increased significantly to 6.32 and 4.01, respectively. Similarly, there was no increase in the OR for advanced fibrosis (0.61[0.15–2.42]) in the hyperuricemia group. Whereas the OR of the obese-hyperuricemia group for advanced fibrosis was obviously higher than that of obese group (4.36[1.94–9.76] vs 2.13[1.09–4.15]).

Table 3 The individual and combined associations of hyperuricemia and obesity with the severity of NAFLD
Full size table

Additive interaction effect between hyperuricemia and obesity on the severity of NAFLD

We further analyzed the additive interaction effect between hyperuricemia and obesity on the severity of NAFLD, and the results were shown in Table 4 and Fig. 1. There was an additive interaction between hyperuricemia and obesity on the prevalence of serious hepatic steatosis and advanced fibrosis. (serious hepatic steatosis, AP:0.39[0.01–0.77]; advanced fibrosis, AP: 0.60[0.26–0.95]). In other words, when hyperuricemia and obesity were present together, 39% of the prevalence for serious hepatic steatosis and 60% of that for advanced fibrosis was due to the interaction effect. However, there was no evidence of an additive interaction between hyperuricemia and obesity for elevated ALT.

Table 4 Additive interaction effect between hyperuricemia and obesity on the severity of NAFLD
Full size table
Fig. 1
figure 1

Additive interaction effect between hyperuricemia and obesity on the severity of NAFLD. RERI, the relative excessive risk due to the interaction. Reference group: normouricemia and non-obesity. *Indicated an additive interaction

Full size image

Discussion

In the present study, we investigated whether obesity status can modify the association between serum uric acid and the severity of liver damage in NAFLD. There were three main findings. Firstly, hyperuricemia was associated with the severity of steatosis, liver inflammation in NAFLD, but not with liver fibrosis. Secondly, hyperuricemia was associated with higher odds of serious hepatic steatosis, elevated ALT and advanced fibrosis in obese NAFLD, whereas the significance was lost in non-obese individuals. Thirdly, there was an additive interaction between hyperuricemia and obesity on the odds of serious hepatic steatosis and advanced fibrosis.

As mentioned previously, hyperuricemia was associated with the severity of steatosis, lobular inflammation in NAFLD, but not with liver fibrosis [5, 10].These findings were consistent with ours, we found that hyperuricemia individuals had higher odds of serious hepatic steatosis and elevated ALT (serious hepatic steatosis, 1.74[1.09–2.79], elevated ALT, 2.17[1.38–3.41]), but not of advanced fibrosis (1.61[0.91–2.85]). Considering that BMI was an important confounding factor in the research of uric acid and metabolic diseases, the association between hyperuricemia and the severity of NAFLD was further explored in non-obese and obese individuals. Surprisingly, the association was significantly changed in different BMI group. In non-obese individuals, we found no evidence of association of hyperuricemia with either serious hepatic steatosis, elevated ALT or advanced fibrosis. Inversely, hyperuricemia was associated with higher odds of both serious hepatic steatosis, elevated ALT and advanced fibrosis in obese NAFLD. Our findings were line with those in other metabolic diseases. A population-based study demonstrated that hyperuricemia significantly increased the risk of hypertension only in obese individuals [22]. Likewise, asymptomatic hyperuricemia was relevant to cardiometabolic risk in obese but not in lean subjects [23]. Our results provided a possible explanation for the controversial phenomenon in the association between SUA and liver fibrosis [8,9,10]. This variation, to some extent, may be due to the different distribution of obesity in the study population.

When obesity and hyperuricemia were present together, there was a strikingly high odds of serious steatosis, elevated ALT and advanced fibrosis, compared with the effect of obesity alone. Whereas hyperuricemia alone was not related to the severity of liver damage. Furthermore, additive interaction analysis found that hyperuricemia and obesity had a significantly synergistic effect on the hepatic steatosis and fibrosis. Specifically, when hyperuricemia and obesity were present together, 39% of the prevalence for serious hepatic steatosis and 60% of that for advanced fibrosis was due to the interaction effect. The classical ‘two hits thesis’, commonly accepted hypothesis of NAFLD pathogenesis, may explain the interaction effect. Obesity was the ‘first hit’ which promoted lipid accumulation in liver, and increased the susceptibility of the liver to injury. Hyperuricemia, as the ‘second hits’, contributed to inflammation with hepatocyte injury and further lead to NASH and hepatic fibrosis [24]. Data in the literature suggested that uric acid can function as a powerful antioxidant to resist the oxidative stress associated with aging and cancer [25]. On the other hand, emerging evidences show that uric acid has a pro-inflammatory role in some metabolic disorders, such as obesity, hypertension, metabolic syndrome (Mets), non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease [26]. Several lines of evidence reported that the hydrophobic condition of lipid altered the antioxidant property of uric acid and the oxidized lipids could turn uric acid into an oxidant [27]. Also, in the process of 3T3-L1 cells differentiated into adipocytes, supplementation of uric acid could increase ROS production by activating NADPH oxidase [28]. Thus, we speculated that uric acid played dual role of anti-oxidant and pro-oxidant in the development of NAFLD, and this dual role may influence by the obesity status. In other words, in non-obese status, uric acid may act as an anti-oxidant and it turned into pro-oxidant in the obesity status. And hyperuricemia was synergistic with obesity to exacerbate the progression of NAFLD. Therefore, we tentatively put forward that hyperuricemia should be controlled in obese NAFLD.

Here, we highlighted that uric acid may act as a pro-oxidant in the obese state, and hyperuricemia was synergistic with obesity to exacerbate the progression of NAFLD. Up to date, treatment of asymptomatic hyperuricemia was ambiguous, and optimal management of hyperuricemia was a matter of urgency in cardiovascular, metabolic, and renal comorbidities. Our study provided an idea for the targeted management of hyperuricemia in obese NAFLD. Several limitations should be noted in this study. Firstly, this was a cross-sectional study that could not determine the causal relationship between obesity, hyperuricemia and liver damage in NAFLD, only provide evidence of relevance. Thus, more large-scale prospective studies are demanded to verify results in this study. Secondly, liver biopsy was not available in this study, due to the low acceptability of liver biopsy in NAFLD. There were two main imaging techniques to non-invasively assess the degree of liver steatosis and fibrosis: ultrasound-based and magnetic resonance-based elastography techniques. MRE showed the highest diagnostic accuracy in the detection of advanced fibrosis in NAFLD. And diffusion-weighted MRI (DW-MRI) was the only functional imaging technology that can measure the motion of water in the extracellular space in living tissues, and the measured apparent diffusion coefficient (ADC) value can relatively accurately reflect the degree of liver fibrosis [29,30,31]. Transient elastography (TE) was second only to magnetic resonance elastography (MRE) and showed good consistency with the pathological findings by biopsy in NAFLD in assessing liver fibrosis [32]. TE had the advantages of being cheap, radiation-free and accessible, so it was applied extensively in clinical practice. Thirdly, the sample size of this study was limited, the association of hyperuricemia with the severity of NAFLD was not evaluated in different genders. But in the multivariate analysis, we adjusted gender as a confounding factor. Thus, more large-scale prospective studies are warrant.

Conclusions

Our results revealed that hyperuricemia was associated with the severity of liver damage in obese NAFLD, not in non-obese individuals. And hyperuricemia and obesity had a significantly synergistic effect on the hepatic steatosis and fibrosis. Thus, management of uric acid may need to be targeted in obese NAFLD.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

NAFLD:

Non-alcoholic fatty liver disease

OR:

Odds ratio

ALT:

Alanine transaminase

HCC:

Hepatocellular carcinoma

NAS:

Nonalcoholic fatty liver disease activity score

SUA:

Serum uric acid

BMI:

Body mass index

CAP:

Controlled attenuation parameter

LSM:

Liver stiffness measurement

HDL-C:

High-density lipoprotein cholesterol

FPG:

Fasting plasma glucose

PLT:

Platelet

RERI:

Relative excess risk due to the interaction

AP:

Attributable proportion

S:

Synergy index

TG:

Triglyceride

NASH:

Nonalcoholic steatohepatitis

Mets:

Metabolic syndrome

TE:

Transient elastography

MRE:

Magnetic resonance elastography

DW-MRI:

Diffusion-weighted MRI

ADC:

Apparent diffusion coefficient

References

  1. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology (Baltimore, MD). 2016;64(1):73–84.

    Article  Google Scholar 

  2. Zhou F, Zhou J, Wang W, Zhang XJ, Ji YX, Zhang P, She ZG, Zhu L, Cai J, Li H. Unexpected rapid increase in the burden of NAFLD in China from 2008 to 2018: a systematic review and meta-analysis. Hepatology (Baltimore, MD). 2019;70(4):1119–33.

    Article  Google Scholar 

  3. Wong RJ, Aguilar M, Cheung R, Perumpail RB, Harrison SA, Younossi ZM, Ahmed A. Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology. 2015;148(3):547–55.

    Article  Google Scholar 

  4. Younossi ZM, Blissett D, Blissett R, Henry L, Stepanova M, Younossi Y, Racila A, Hunt S, Beckerman R. The economic and clinical burden of nonalcoholic fatty liver disease in the United States and Europe. Hepatology (Baltimore, MD). 2016;64(5):1577–86.

    Article  Google Scholar 

  5. Petta S, Cammà C, Cabibi D, Di Marco V, Craxì A. Hyperuricemia is associated with histological liver damage in patients with non-alcoholic fatty liver disease. Aliment Pharmacol Ther. 2011;34(7):757–66.

    Article  CAS  Google Scholar 

  6. Mosca A, Nobili V, De Vito R, Crudele A, Scorletti E, Villani A, Alisi A, Byrne CD. Serum uric acid concentrations and fructose consumption are independently associated with NASH in children and adolescents. J Hepatol. 2017;66(5):1031–6.

    Article  CAS  Google Scholar 

  7. Jaruvongvanich V, Ahuja W, Wirunsawanya K, Wijarnpreecha K, Ungprasert P. Hyperuricemia is associated with nonalcoholic fatty liver disease activity score in patients with nonalcoholic fatty liver disease: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2017;29(9):1031–5.

    Article  CAS  Google Scholar 

  8. Yoneda M, Thomas E, Sumida Y, Imajo K, Hyogo H, Fujii H, Ono M, Kawaguchi T, Eguchi Y, Nakajima A. Uric acid levels decrease with fibrosis progression in patients with nonalcoholic fatty liver disease. Clin Biochem. 2014;47(12):1138–9.

    Article  CAS  Google Scholar 

  9. Huang JF, Yeh ML, Yu ML, Huang CF, Dai CY, Hsieh MY, Hsieh MH, Huang CI, Lin ZY, Chen SC, et al. Hyperuricemia inversely correlates with disease severity in Taiwanese nonalcoholic steatohepatitis patients. PLoS ONE. 2015;10(10):e0139796.

    Article  Google Scholar 

  10. Jaruvongvanich V, Ahuja W, Wijarnpreecha K, Ungprasert P. Hyperuricemia is not associated with severity of liver fibrosis in patients with nonalcoholic fatty liver disease: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2017;29(6):694–7.

    Article  CAS  Google Scholar 

  11. Palmer TM, Nordestgaard BG, Benn M, Tybjærg-Hansen A, Davey Smith G, Lawlor DA, Timpson NJ. Association of plasma uric acid with ischaemic heart disease and blood pressure: mendelian randomisation analysis of two large cohorts. BMJ (Clin Res Ed). 2013;347:f4262.

    Google Scholar 

  12. Norvik JV, Storhaug HM, Ytrehus K, Jenssen TG, Zykova SN, Eriksen BO, Solbu MD. Overweight modifies the longitudinal association between uric acid and some components of the metabolic syndrome: the Tromsø Study. BMC Cardiovasc Disord. 2016;16:85.

    Article  Google Scholar 

  13. Yu TY, Jee JH, Bae JC, Jin SM, Baek JH, Lee MK, Kim JH. Serum uric acid: a strong and independent predictor of metabolic syndrome after adjusting for body composition. Metabol Clin Exp. 2016;65(4):432–40.

    Article  CAS  Google Scholar 

  14. Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, Harrison SA, Brunt EM, Sanyal AJ. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases. Hepatology (Baltimore, MD). 2018;67(1):328–57.

    Article  Google Scholar 

  15. Wu J, Qiu L, Cheng XQ, Xu T, Wu W, Zeng XJ, Ye YC, Guo XZ, Cheng Q, Liu Q, et al. Hyperuricemia and clustering of cardiovascular risk factors in the Chinese adult population. Sci Rep. 2017;7(1):5456.

    Article  Google Scholar 

  16. Aveyard P, Lewis A, Tearne S, Hood K, Christian-Brown A, Adab P, Begh R, Jolly K, Daley A, Farley A, et al. Screening and brief intervention for obesity in primary care: a parallel, two-arm, randomised trial. Lancet (London, England). 2016;388(10059):2492–500.

    Article  Google Scholar 

  17. Gawrieh S, Wilson LA, Cummings OW, Clark JM, Loomba R, Hameed B, Abdelmalek MF, Dasarathy S, Neuschwander-Tetri BA, Kowdley K, et al. Histologic findings of advanced fibrosis and cirrhosis in patients with nonalcoholic fatty liver disease who have normal aminotransferase levels. Am J Gastroenterol. 2019;114(10):1626–35.

    Article  Google Scholar 

  18. Yoneda M, Imajo K, Eguchi Y, Fujii H, Sumida Y, Hyogo H, Ono M, Suzuki Y, Kawaguchi T, Aoki N, et al. Noninvasive scoring systems in patients with nonalcoholic fatty liver disease with normal alanine aminotransferase levels. J Gastroenterol. 2013;48(9):1051–60.

    Article  CAS  Google Scholar 

  19. Castera L, Friedrich-Rust M, Loomba R. Noninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease. Gastroenterology. 2019;156(5):1264-1281.e1264.

    Article  Google Scholar 

  20. Petta S, Wai-Sun Wong V, Bugianesi E, Fracanzani AL, Cammà C, Hiriart JB, Lai-Hung Wong G, Vergniol J, Wing-Hung Chan A, Giannetti A, et al. Impact of obesity and alanine aminotransferase levels on the diagnostic accuracy for advanced liver fibrosis of noninvasive tools in patients with nonalcoholic fatty liver disease. Am J Gastroenterol. 2019;114(6):916–28.

    Article  Google Scholar 

  21. Fan JG, Saibara T, Chitturi S, Kim BI, Sung JJ, Chutaputti A. What are the risk factors and settings for non-alcoholic fatty liver disease in Asia-Pacific? J Gastroenterol Hepatol. 2007;22(6):794–800.

    Article  Google Scholar 

  22. Tian S, Liu Y, Xu Y, Feng A. Does obesity modify the epidemiological association between hyperuricemia and the prevalence of hypertension among Northern Chinese community-dwelling people? A Chinese population-based study. BMJ Open. 2019;9(11):e031803.

    Article  Google Scholar 

  23. Sebekova K, Gurecka R, Podracka L. Asymptomatic hyperuricemia associates with cardiometabolic risk indicators in overweight/obese but not in lean adolescents. Diabetes Metab Syndr Obes Targets Ther. 2020;13:3977–92.

    Article  Google Scholar 

  24. Buzzetti E, Pinzani M, Tsochatzis EA. The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD). Metab Clin Exp. 2016;65(8):1038–48.

    Article  CAS  Google Scholar 

  25. Ames BN, Cathcart R, Schwiers E, Hochstein P. Uric acid provides an antioxidant defense in humans against oxidant- and radical-caused aging and cancer: a hypothesis. Proc Natl Acad Sci USA. 1981;78(11):6858–62.

    Article  CAS  Google Scholar 

  26. Johnson RJ, Bakris GL, Borghi C, Chonchol MB, Feldman D, Lanaspa MA, Merriman TR, Moe OW, Mount DB, Sanchez Lozada LG, et al. Hyperuricemia, acute and chronic kidney disease, hypertension, and cardiovascular disease: report of a scientific workshop organized by the National Kidney Foundation. Am J Kidney Dis. 2018;71(6):851–65.

    Article  Google Scholar 

  27. Pisoschi AM, Pop A. The role of antioxidants in the chemistry of oxidative stress: a review. Eur J Med Chem. 2015;97:55–74.

    Article  CAS  Google Scholar 

  28. Sautin YY, Nakagawa T, Zharikov S, Johnson RJ. Adverse effects of the classic antioxidant uric acid in adipocytes: NADPH oxidase-mediated oxidative/nitrosative stress. Am J Physiol Cell Physiol. 2007;293(2):C584-596.

    Article  CAS  Google Scholar 

  29. Razek AA, Abdalla A, Omran E, Fathy A, Zalata K. Diagnosis and quantification of hepatic fibrosis in children with diffusion weighted MR imaging. Eur J Radiol. 2011;78(1):129–34.

    Article  Google Scholar 

  30. Razek A, Khashaba M, Abdalla A, Bayomy M, Barakat T. Apparent diffusion coefficient value of hepatic fibrosis and inflammation in children with chronic hepatitis. Radiol Med (Torino). 2014;119(12):903–9.

    Article  Google Scholar 

  31. Besheer T, Razek A, El Bendary M, Abd El Maksoud M, Elalfy H, Zalata K, Elkashef W, Zaghloul H, El Gilany AH. Does steatosis affect the performance of diffusion-weighted MRI values for fibrosis evaluation in patients with chronic hepatitis C genotype 4? Turk J Gastroenterol. 2017;28(4):283–8.

    Article  Google Scholar 

  32. Mikolasevic I, Orlic L, Franjic N, Hauser G, Stimac D, Milic S. Transient elastography (FibroScan(®)) with controlled attenuation parameter in the assessment of liver steatosis and fibrosis in patients with nonalcoholic fatty liver disease—Where do we stand? World J Gastroenterol. 2016;22(32):7236–51.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to express our sincere gratitude to all the patients who participated in the study and the support from Key R&D Program of Shaanxi and Shaanxi provincial Natural Science Foundation.

Funding

This research is supported by Key R&D Program of Shaanxi (S2018-YF-ZDSF-0240) and Shaanxi provincial Natural Science Foundation (2019JM-021). The funding source was not involved in the study design, writing the manuscript or decision to submit it for publication.

Author information

Author notes

  1. Mimi Zhou and Nan Yang have contributed equally to this work

Authors and Affiliations

  1. Department of Infectious Diseases, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta Road (w), Xi’an, 710061, Shaanxi, China

    Mimi Zhou, Nan Yang, Juan Li, Yi Chen, Chunhua Hu, Rou Zhang, Yingren Zhao & Yingli He

  2. Shaanxi Clinical Research Center of Infectious Diseases, Xi’an, Shaanxi, China

    Mimi Zhou, Nan Yang, Juan Li, Yi Chen, Chunhua Hu, Rou Zhang, Yingren Zhao & Yingli He

  3. Department of Gastroenterology, Shanghai Pudong Hospital of Fudan University, Shanghai, China

    Xiaolan Lu

  4. Department of Gastroenterology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China

    Xin Xing, Danyan Chang & Jiang Deng

Authors
  1. Mimi Zhou
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  2. Nan Yang
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  3. Xin Xing
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  4. Danyan Chang
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  5. Juan Li
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  6. Jiang Deng
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  7. Yi Chen
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  8. Chunhua Hu
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  9. Rou Zhang
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  10. Xiaolan Lu
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  11. Yingren Zhao
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  12. Yingli He
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Contributions

YLH and XLL designed the study. MMZ and NY have contributed equally to this work. MMZ was responsible for data collection with the help from XX, JL and JD. NY conducted statistical analysis with the assistance of YC and CHH. DYC and RZ were in charge of FibroTouch examination. Administrative and material support was provided by YRZ. The manuscript was written primarily by MMZ and was revised by all authors. All authors substantially contributed to this project, read and approved the manuscript, and assumed responsibility for the contents of the manuscript.

Corresponding authors

Correspondence to Xiaolan Lu, Yingren Zhao or Yingli He.

Ethics declarations

Ethics approval and consent to participate

The study design was approved by the Ethics Committee of Xi'an Jiaotong University complying with Declaration of Helsinki and all participants have signed the written informed consent.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Zhou, M., Yang, N., Xing, X. et al. Obesity interacts with hyperuricemia on the severity of non-alcoholic fatty liver disease. BMC Gastroenterol 21, 43 (2021). https://doi.org/10.1186/s12876-021-01615-w

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  • DOI: https://doi.org/10.1186/s12876-021-01615-w

Keywords

BMC Gastroenterology

ISSN: 1471-230X

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