Circulating miR-122-5p, miR-151a-3p, miR-126-5p and miR-21-5p as potential predictive biomarkers for Metabolic Dysfunction-Associated Steatotic Liver Disease assessment

Author:

Tobaruela-Resola Ana LuzORCID,Milagro Fermín I.ORCID,Elorz MarianaORCID,Benito-Boillos AlbertoORCID,Herrero José I.ORCID,Mogna-Peláez PaolaORCID,Tur Josep A.ORCID,Martínez J. AlfredoORCID,Abete ItziarORCID,Zulet M. ÁngelesORCID

Abstract

Abstract Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a worldwide leading cause of liver-related associated morbidities and mortality. Currently, there is a lack of reliable non-invasive biomarkers for an accurate of MASLD. Hence, this study aimed to evidence the functional role of miRNAs as potential biomarkers for MASLD assessment. Data from 55 participants with steatosis (MASLD group) and 45 without steatosis (control group) from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. Anthropometrics and body composition, biochemical and inflammatory markers, lifestyle factors and liver status were evaluated. Circulating miRNA levels were measured by RT-PCR. Circulating levels of miR-122-5p, miR-151a-3p, miR-126-5p and miR-21-5p were significantly increased in the MASLD group. These miRNAs were significantly associated with steatosis, liver stiffness and hepatic fat content. Logistic regression analyses revealed that miR-151a-3p or miR-21-5p in combination with leptin showed a significant diagnostic accuracy for liver stiffness obtaining an area under the curve (AUC) of 0.76 as well as miR-151a-3p in combination with glucose for hepatic fat content an AUC of 0.81. The best predictor value for steatosis was obtained by combining miR-126-5p with leptin, presenting an AUC of 0.95. Circulating miRNAs could be used as a non-invasive biomarkers for evaluating steatosis, liver stiffness and hepatic fat content, which are crucial in determining MASLD. Clinical trial registration • Trial registration number: NCT03183193 (www.clinicaltrials.gov). • Date of registration: 12/06/2017.

Funder

CIBERobn

Fundació la Marató de TV3

Health Department of the Government of Navarra

Universidad de Navarra

Publisher

Springer Science and Business Media LLC

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