Application Of New Non-invasive Quantitative Indicators In The Diagnosis And Evaluation Of Fatty Liver

BACKGROUND:As a very serious multisystem chronic liver disease,nonalcoholic fatty liver disease(NAFLD)has a huge influence on the human health all over the world,and is closely related to obesity,insulin resistance and metabolic syndrome.This disease is likely to develop into steatohepatitis in the later stage,which leads to a series of serious complications such as cirrhosis,liver cancer and liver failure.Therefore,dynamic,longterm,individualized quantitative monitoring and evaluation of fatty liver is particularly important.At present,various methods can be used for a qualitative diagnosis of NAFLD,but they can't meet higher demand.Therefore,it is extremely important to develop new diagnostic methods monitoring and evaluating the occurance of NAFLD and find the right non-invasive quantitative parameters.A number of studies have shown that VFA,SFA,BMI and liver-associated microRNAs have important regulatory roles in the development of fatty liver,thence they are all potential non-invasive quantitative indicators,which may serve as the target parameters.Digital PCR technology and Dual Bioimpedance technology enable accurate quantification of these parameters.RESEARCH PURPOSE:Digital PCR and dual electrical impedance techniques were used to detect these parameters.Combined with mathematical models,the diagnostic potential of those parameters was assessed,though which it could provide a basis for dynamic,long-term,individualized monitoring and evaluation.This may have important clinical significance for the treatment and disease management of NAFLD.METHODS:1?Technical methods: The plasma and lymphocytes of the study subjects were collected and total plasma miRNAs extracted.MiRNAs were accurately quantified by digital PCR.The data of BMI,SFA,VFA and others indicators were collected subsequently.2?Analysis of single indicators: To analyze whether there was statistical difference between the indexes of fatty liver and healthy liver,expressions of the relevant indicators were compared between routine liver function index and obesity index;The correlation between each index and liver status was analyzed with the ROC curve to evaluate the prognosis of the indicators above.3?Multiple indicator combination analysis: A binary logistic regression model was established through combining the obesity indicators with miRNAs together.The ROC curve was used to assess the diagnostic performance of the model.RESULTS:The levels of VFA,SFA,BMI and various miRNAs are significantly different between fatty livers and healthy livers,and they are excellent non-invasive quantitative parameters of fatty liver.The constructed models have good diagnostic performance and certain clinical value,which could provide a basis for dynamic,long-term,individualized monitoring and may have important clinical significance for the treatment and disease management of nonalcoholic fatty liver.