AIM: To explore the association between serum α-L-fucosidase (AFU) and non-alcoholic fatty liver disease (NAFLD). 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 NAFLD status. Linear regression analysis and stepwise multiple regression analysis were applied to assess the risk factors for NAFLD. Receiver operating characteristic curve was used to determine the sensitivity and specificity of AFU in the diagnosis of NAFLD. RESULTS: The prevalence rates of NAFLD and metabolic syndrome (MetS) were 38.0% and 25.4%, respectively. The NAFLD group had significantly higher AFU levels than the non-NAFLD group (28.7 ± 7.9 U/L vs 26.0 ± 7.3 U/L, P < 0.001) and the prevalence rate of NAFLD increased with progressively higher serum AFU levels. AFU was positively correlated with MetS 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 AFU was associated with an increased risk of NAFLD (OR = 1.009, 95%CI: 1.003-1.014, P < 0.001). The best cut-off value of AFU for the diagnosis of NAFLD 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: AFU level is significantly associated with NAFLD, and elevated AFU level is an independent risk factor for NAFLD.
AIM: To explore the association between serum α-L-fucosidase (AFU) and non-alcoholic fatty liver disease (NAFLD). 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 NAFLD status. Linear regression analysis and stepwise multiple regression analysis were applied to assess the risk factors for NAFLD. Receiver operating characteristic curve was used to determine the sensitivity and specificity of AFU in the diagnosis of NAFLD. RESULTS: The prevalence rates of NAFLD and metabolic syndrome (MetS) were 38.0% and 25.4%, respectively. The NAFLD group had significantly higher AFU levels than the non-NAFLD group (28.7 ± 7.9 U/L vs 26.0 ± 7.3 U/L, P < 0.001) and the prevalence rate of NAFLD increased with progressively higher serum AFU levels. AFU was positively correlated with MetS 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 AFU was associated with an increased risk of NAFLD (OR = 1.009, 95%CI: 1.003-1.014, P < 0.001). The best cut-off value of AFU for the diagnosis of NAFLD 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: AFU level is significantly associated with NAFLD, and elevated AFU level is an independent risk factor for NAFLD.
Authors: Min De Zeng; Jian Gao Fan; Lun Gen Lu; You Ming Li; Cheng Wei Chen; Bing Yuan Wang; Yi Min Mao Journal: J Dig Dis Date: 2008-05 Impact factor: 2.325
Authors: P Tangkijvanich; P Tosukhowong; P Bunyongyod; S Lertmaharit; O Hanvivatvong; P Kullavanijaya; Y Poovorawan Journal: Southeast Asian J Trop Med Public Health Date: 1999-03 Impact factor: 0.267