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HEPATOLOGY, VOLUME 62, NUMBER 1 (SUPPL) AASLD ABSTRACTS 1263A<br />

0.84), 0.84(0.76-0.92) and 0.88(0.82-0.94), respectively.<br />

NFS had the highest NPV (98%), while NPVs of AAR, APRI,<br />

BARD and FIB-4 were 87%, 85%, 94.5% and 94%, respectively.<br />

56% to 83% of cohort 1 pts were correctly classified as<br />

having or not AF. In cohort 2 (mean age 46±13, males 65%,<br />

diabetes 28%, mean BMI 30±5, AF 23.5%), AUROCs of AAR,<br />

APRI, BARD, FIB-4 and NFS were 0.58(0.50-0.66), 0.55(0.47-<br />

0.63), 0.64(0.57-0.71), 0.68(0.61-0.75) and 0.66(0.59-<br />

0.73), respectively. NFS had the highest NPV (84%), while<br />

NPVs of AAR, APRI, BARD and FIB-4 were 78%, 77.5%, 83%<br />

and 82%. 64% to 71% of cohort 2 pts were correctly classified<br />

as having or not AF. In cohort 3 (mean age 49±13, males<br />

61%, diabetes 38%, mean BMI 31±5, AF 22.7%), AUROCs<br />

of AAR, APRI, BARD, FIB-4 and NFS were 0.65(0.58-0.71),<br />

0.73(0.67-0.79), 0.71(0.65-0.76), 0.74(0.68-0.8) and<br />

0.71(0.65-0.77), respectively. BARD had the higher NPV<br />

(89%), while NPVs of AAR, APRI, FIB-4 and NFS were 84%,<br />

81%, 88% and 86%. 61% to 78% of cohort 3 pts were correctly<br />

classified as having or not AF. Conclusions: There is a<br />

substantial variability across different cohorts in the diagnostic<br />

accuracy of non-invasive scoring systems for ruling-out AF in<br />

NAFLD. Complex scores (BARD, FIB-4, NFS) perform better<br />

than simple ones (AAR and APRI), but none of them is consistently<br />

within the acceptable range for clinical-decision making<br />

in an individual patient. Combination with imaging methods<br />

should be tested in future <strong>studies</strong>.<br />

Disclosures:<br />

Manuel Romero-Gomez - Advisory Committees or Review Panels: Roche Farma,SA.,<br />

MSD, S.A., Janssen, S.A., Abbott, S.A.; Grant/Research Support: Ferrer,<br />

S.A.<br />

Giulio Marchesini - Advisory Committees or Review Panels: Sanofi-Synthelabo;<br />

Board Membership: GENFIT, Gilead, Glaxo, Novartis; Grant/Research Support:<br />

Merck Sharp & Dome; Speaking and Teaching: Novo Nordisk, Merck Sharp &<br />

Dome, Boerhinger Ingelheim, Eli Lilly, Astra-Zeneca<br />

Michael Trauner - Advisory Committees or Review Panels: MSD, Janssen, Gilead,<br />

Abbvie; Consulting: Phenex; Grant/Research Support: Intercept, Falk Pharma,<br />

Albireo; Patent Held/Filed: Med Uni Graz (norUDCA); Speaking and Teaching:<br />

Falk Foundation, Roche, Gilead<br />

Jean-Francois Dufour - Advisory Committees or Review Panels: Bayer, BMS, Gilead,<br />

AbbVie, Novartis, Sillagen, Genfit<br />

Vlad Ratziu - Advisory Committees or Review Panels: GalMed, Abbott, Genfit,<br />

Enterome, Gilead; Consulting: Tobira, Intercept, Exalenz, Sanofi-Synthelabo,<br />

Boehringer-Ingelheim<br />

The following authors have nothing to disclose: Fabio Nascimbeni, Salvatore<br />

Petta, Elisabetta Bugianesi, Stefano Bellentani, Christopher P. Day, Pierre<br />

Bedossa, Claudia P. Oliveira, Raluca Pais<br />

2165<br />

DJ-1 labeling index is a novel diagnostic biomarker for<br />

predicting progression of nonalcoholic steatohepatitis<br />

Masaaki Takamura 1 , Satoshi Yamagiwa 1 , Yasunobu Matsuda 2 ,<br />

Minoru Nomoto 1 , Toshifumi Wakai 1 , Shuji Terai 1 ; 1 Niigata University<br />

Graduate School of Medical and Dental Sciences, Niigata,<br />

Japan; 2 Niigata University Graduate School of Health Sciences,<br />

Niigata, Japan<br />

Background & Aims: Nonalcoholic steatohepatitis (NASH) is<br />

a common cause of chronic liver disease that can progress to<br />

cirrhosis and hepatocellular carcinoma. We have previously<br />

reported that hepatic proteins that were dysregulated in a<br />

murine NASH model functioned in a wide variety of pathways,<br />

including oxidative stress, glycolysis, the urea cycle, fatty acid<br />

oxidation, and apoptosis, based on a proteomic approach.<br />

Among the candidate proteins, we focused on the antioxidant<br />

protein DJ-1, which was upregulated in the livers of NASH<br />

model mice. In this study we analyzed the clinical implications<br />

of DJ-1 in patients with NASH. Methods: Liver biopsies and<br />

blood samples were obtained from 72 and 38 patients with<br />

nonalcoholic fatty liver disease (NAFLD) and 8 and 16 control<br />

subjects, respectively. The hepatic DJ-1 expression and serum<br />

DJ-1 levels were investigated using immunohistochemistry and<br />

enzyme-linked immunosorbent assay, respectively. The percentage<br />

of immunoreactive hepatocyte nuclei in the total number<br />

of hepatocyte nuclei was defined as DJ-1 labeling index (LI).<br />

NASH was assessed according to the Brunt classification.<br />

Results: DJ-1 was localized in the hepatocyte cytoplasm in the<br />

control and was incrementally translocated to the nucleus in<br />

NAFLD. A stepwise increase in DJ-1 LI (median [interquartile<br />

range]) was found from the control group (0 % [0-0.16]) to the<br />

nonalcoholic fatty liver (NAFL) group (4.34 % [1.50-15.4]) to<br />

the NASH group (38.5 % [29.6-48.7]; p

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