代谢组学
胰腺炎
内科学
胃肠病学
医学
多元分析
胰腺炎,慢性
单变量
单变量分析
曲线下面积
胰腺外分泌功能不全
胰腺
多元统计
生物信息学
生物
统计
数学
作者
Caridad Díaz,Cristina Jiménez‐Luna,Carmelo Diéguez-Castillo,Ariadna Martín-Blázquez,José Prados,Martin Jl,Olga Genilloud,Francisca Vicente,José Pérez del Palacio,Octavio Caba
出处
期刊:Medicina-lithuania
[Multidisciplinary Digital Publishing Institute]
日期:2021-08-26
卷期号:57 (9): 876-876
被引量:4
标识
DOI:10.3390/medicina57090876
摘要
Background and Objectives: The clinical manifestations and course of chronic pancreatitis (CP) are often nonspecific and variable, hampering diagnosis of the risk of exocrine pancreatic insufficiency (EPI). Development of new, reproducible, and non-invasive methods to diagnose EPI is therefore a major priority. The objective of this metabolomic study was to identify novel biomarkers associated with EPI. Materials and Methods: We analyzed 53 samples from patients with CP, 32 with and 21 without EPI, using an untargeted metabolomics workflow based on hydrophilic interaction chromatography coupled to high-resolution mass spectrometry. Principal component and partial least squares-discriminant analyses showed significant between-group differentiation, and univariate and multivariate analyses identified potential candidate metabolites that significantly differed between samples from CP patients with EPI and those without EPI. Results: Excellent results were obtained using a six-metabolic panel to diagnose the presence of EPI in CP patients (area under the ROC curve = 0.785). Conclusions: This study confirms the usefulness of metabolomics in this disease setting, allowing the identification of novel biomarkers to differentiate between the presence and absence of EPI in CP patients.
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