AIM: To explore the association between serum α-Lfucosidase(Af U) and non-alcoholic fatty liver disease(NAf LD).METHODS: A total of 16473 individuals(9456 men and 7017 women) were included in the current study, who presented for a health examination at the first Affiliated hospital of Zhejiang University School of medicine in 2014. The baseline characteristics of the cohort were compared by NAf LD status. Linear regression analysis and stepwise multiple regression analysis were applied to assess the risk factors for NAf LD. Receiver operating characteristic curve was used to determine the sensitivity and specificity of Af U in the diagnosis of NAf LD.RESULTS: The prevalence rates of NAf LD and metabolic syndrome(met S) were 38.0% and 25.4%, respectively. The NAf LD group had significantly higher Af U levels than the non-NAf LD group(28.7 ± 7.9 U/L vs 26.0 ± 7.3 U/L, P < 0.001) and the prevalence rate of NAf LD increased with progressively higher serum Af U levels. Af U was positively correlated with met S and its five components: central obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol, and elevated blood pressure and fasting glucose. Stepwise multiple logistic regression analysis showed that Af U was associated with an increased risk of NAf LD(OR = 1.009, 95%CI: 1.003-1.014, P < 0.001). The best cut-off value of Af U for the diagnosis of NAf LD was 27.5 U/L. The area under the curve(diagnostic efficacy index) was 0.606. The sensitivity and specificity were 54.6% and 61.8%, respectively. CONCLUSION: Af U level is significantly associated with NAf LD, and elevated Af U level is an independent risk factor for NAf LD. AIM: To explore the association between serum α-Lfucosidase (Af U) and non-alcoholic fatty liver disease (NAf LD). METHODS: A total of 16473 individuals (9456 men and 7017 women) were included in the current study, who presented for a health examination at the first Affiliated hospital of Zhejiang University School of medicine in 2014. The baseline characteristics of the cohort were compared by NAf LD status. Linear regression analysis and stepwise multiple regression analysis were applied to assess the risk factors for NAf LD. Receiver operating characteristic curve was used to determine the sensitivity and specificity of Af U in the diagnosis of NAf LD .RESULTS: The prevalence rates of NAf LD and metabolic syndrome (met S) were 38.0% and 25.4%, respectively. The NAf LD group had significantly higher Af U levels than the non-NAf LD group (28.7 ± 7.9 U / L vs. 26.0 ± 7.3 U / L, P <0.001) and the prevalence rate of NAf LD increased with progressively higher serum Af U levels. Af U was positivel y correlated with met S and its five components: central obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol, and elevated blood pressure and fasting glucose. Stepwise multiple logistic regression analysis showed that Af U was associated with an increased risk of NAf LD (OR = 1.009, 95% CI: 1.003-1.014, P <0.001). The best cut-off value of Af U for the diagnosis of NAf LD was 27.5 U / L. The area under the curve (diagnostic efficacy index) was 0.606. The sensitivity and specificity were 54.6% and 61.8%, respectively. CONCLUSION: Af U level is significantly associated with NAf LD, and elevated Af U level is an independent risk factor for NAf LD.