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Baseline Tyrosine Level Is Associated with Dynamic Changes in FAST Score in NAFLD Patients under Lifestyle Modification
被引:0
作者:
Kim, Hwi Young
[1
]
Kim, Da Jung
[2
]
Lee, Hye Ah
[3
]
Cho, Joo-Youn
[4
,5
]
Kim, Won
[6
,7
]
机构:
[1] Ewha Womans Univ, Coll Med, Dept Internal Med, Seoul 07985, South Korea
[2] Seoul Natl Univ Hosp, Biomed Res Inst, Dept Transdisciplinary Res, Metabol Core Facil, Seoul 03082, South Korea
[3] Ewha Womans Univ, Clin Trial Ctr, Med Ctr, Seoul 07985, South Korea
[4] Seoul Natl Univ, Coll Med & Hosp, Dept Clin Pharmacol & Therapeut, Seoul 03080, South Korea
[5] Seoul Natl Univ, Coll Med, Dept Biomed Sci, Seoul 03080, South Korea
[6] Seoul Natl Univ, Coll Med, Dept Internal Med, Seoul 07061, South Korea
[7] Seoul Metropolitan Govt Boramae Med Ctr, Seoul 07061, South Korea
来源:
基金:
新加坡国家研究基金会;
关键词:
steatosis;
steatohepatitis;
nonalcoholic steatohepatitis;
risk stratification;
prediction;
multiomics;
genomics;
metabolomics;
weight change;
outcome;
FATTY-LIVER-DISEASE;
RISK NONALCOHOLIC STEATOHEPATITIS;
FIBROSCAN-AST SCORE;
MANAGEMENT;
ACID;
SARCOPENIA;
EPIDEMIOLOGY;
PREVALENCE;
GUIDELINES;
GLUCOSE;
D O I:
10.3390/metabo13030444
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Noninvasive risk stratification is a challenging issue in the management of patients with nonalcoholic fatty liver disease (NAFLD). This study aimed to identify multiomics-based predictors of NAFLD progression, as assessed by changes in serial FibroScan-aspartate aminotransferase (FAST) scores during lifestyle modification. A total of 266 patients with available metabolomics and genotyping data were included. The follow-up sub-cohort included patients with paired laboratory and transient elastography results (n = 160). The baseline median FAST score was 0.37. The PNPLA3 rs738409 genotype was significantly associated with a FAST score > 0.35. Circulating metabolomics significantly associated with a FAST score > 0.35 included SM C24:0 (odds ratio [OR] = 0.642; 95% confidence interval [CI], 0.463-0.891), PC ae C40:6 (OR = 0.477; 95% CI, 0.340-0.669), lysoPC a C18:2 (OR = 0.570; 95% CI, 0.417-0.779), and tyrosine (OR = 2.743; 95% CI, 1.875-4.014). A combination of these metabolites and PNPLA3 genotype yielded a c-index = 0.948 for predicting a FAST score > 0.35. In the follow-up sub-cohort (median follow-up = 23.7 months), 47/76 patients (61.8%) with a baseline FAST score > 0.35 had a follow-up FAST score <= 0.35. An improved FAST score at follow-up was significantly associated with age, serum alanine aminotransferase, and tyrosine. In conclusion, baseline risk stratification in NAFLD patients may be assisted using a multiomics-based model. Particularly, patients with increased tyrosine may benefit from an earlier switch to pharmacologic approaches.
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