Maras Jaswinder Singh, Das Sukanta, Sharma Shvetank, Shasthry Saggere M, Colsch Benoit, Junot Christophe, Moreau Richard, Sarin Shiv Kumar
Department of Molecular and Cellular Medicine Institute of Liver and Biliary Sciences New Delhi India.
Department of Hepatology Institute of Liver and Biliary Sciences New Delhi India.
Hepatol Commun. 2018 Apr 16;2(6):628-643. doi: 10.1002/hep4.1176. eCollection 2018 Jun.
Severe alcoholic hepatitis (SAH) has a high mortality rate, and corticosteroid therapy is effective in 60% patients. This study aimed to investigate a baseline metabolic phenotype that could help stratify patients not likely to respond to steroid therapy and to have an unfavorable outcome. Baseline urine metabolome was studied in patients with SAH using ultra-high performance liquid chromatography and high-resolution mass spectrometry. Patients were categorized as responders (Rs, n = 52) and nonresponders (NRs, n = 8) at day 7 according to the Lille score. Multivariate projection analysis identified metabolites in the discovery cohort (n = 60) and assessed these in a validation cohort of 80 patients (60 Rs, 20 NRs). A total of 212 features were annotated by using metabolomic/biochemical/spectral databases for metabolite identification. After a stringent selection procedure, a total of nine urinary metabolites linked to mitochondrial functions significantly discriminated nonresponders, most importantly by increased acetyl-L-carnitine (12-fold), octanoylcarnitine (4-fold), decanoylcarnitine (4-fold), and alpha-ketoglutaric acid (2-fold) levels. Additionally, urinary acetyl-L-carnitine and 3-hydroxysebasic acid discriminated nonsurvivors ( 0.01). These urinary metabolites significantly correlated to severity indices and mortality ( 0.3; 0.01) and were associated with nonresponse (odds ratio >3.0; 0.001). In the validation cohort, baseline urinary acetyl-L-carnitine documented an area under the receiver operating curve of 0.96 (0.85-0.99) for nonresponse prediction and a hazard ratio of 3.5 (1.5-8.3) for the prediction of mortality in patients with SAH. Acetyl-L-carnitine at a level of >2,500 ng/mL reliably segregated survivors from nonsurvivors ( 0.01, log-rank test) in our study cohort. Urinary metabolome signatures related to mitochondrial functions can predict pretherapy steroid response and disease outcome in patients with SAH. ( 2018;2:628-643).
重症酒精性肝炎(SAH)死亡率很高,皮质类固醇疗法对60%的患者有效。本研究旨在调查一种基线代谢表型,以帮助对不太可能对类固醇疗法产生反应且预后不良的患者进行分层。使用超高效液相色谱和高分辨率质谱法对SAH患者的基线尿液代谢组进行了研究。根据 Lille 评分,在第7天将患者分为反应者(Rs,n = 52)和无反应者(NRs,n = 8)。多变量投影分析在发现队列(n = 60)中鉴定出代谢物,并在80名患者(60名反应者,20名无反应者)的验证队列中对这些代谢物进行评估。通过使用代谢组学/生化/光谱数据库进行代谢物鉴定,共注释了212个特征。经过严格的筛选程序,总共9种与线粒体功能相关的尿液代谢物显著区分了无反应者,最重要的是通过增加乙酰-L-肉碱(12倍)、辛酰肉碱(4倍)、癸酰肉碱(4倍)和α-酮戊二酸(2倍)水平。此外,尿液中的乙酰-L-肉碱和3-羟基癸二酸可区分非幸存者(P < 0.01)。这些尿液代谢物与严重程度指标和死亡率显著相关(P < 0.3;P < 0.01),并与无反应相关(比值比>3.0;P < 0.001)。在验证队列中,基线尿液乙酰-L-肉碱在预测无反应方面的受试者工作特征曲线下面积为0.96(0.85 - 0.99),在预测SAH患者死亡率方面的风险比为3.5(1.5 - 8.3)。在我们的研究队列中,乙酰-L-肉碱水平>2500 ng/mL可可靠地将幸存者与非幸存者区分开来(P < 0.01,对数秩检验)。与线粒体功能相关的尿液代谢组特征可预测SAH患者治疗前的类固醇反应和疾病预后。(《[期刊名称]》2018年;2:628 - 643) (注:原文中未给出具体期刊名称,翻译时用“[期刊名称]”表示)