Exploratory metabolomics of biomarker identification for the internet gaming disorder in young Korean males

被引:13
作者
Cho, Yeo Ul [1 ]
Lee, Deokjong [2 ,3 ]
Lee, Jung-Eun [1 ]
Kim, Kyoung Heon [4 ]
Lee, Do Yup [1 ]
Jung, Young-Chul [2 ,3 ]
机构
[1] Kookmin Univ, Dept Bio & Fermentat Convergence Technol, PLUS Program BK21, Seoul 02707, South Korea
[2] Yonsei Univ, Coll Med, Dept Psychiat, Seoul 03722, South Korea
[3] Yonsei Univ, Coll Med, Inst Behav Sci Med, Seoul 03722, South Korea
[4] Korea Univ, Grad Sch, Dept Biotechnol, Seoul 02841, South Korea
来源
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2017年 / 1057卷
基金
新加坡国家研究基金会;
关键词
Biomarker cluster; Plasma metabolite; Internet addiction severity; Gas chromatography time-of-flight mass; spectrometry (GC-TOF MS); Internet gaming disorder (IGD); ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; ADHD; DEFICIT; PREVALENCE; ADDICTION; DISCOVERY; ADOLESCENTS; MYOINOSITOL; INTEGRITY; SYMPTOMS;
D O I
10.1016/j.jchromb.2017.04.046
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The main aim of the current research is to characterize the molecular dynamics related to internet gaming disorder (IGD) using non-targeted plasma metabolite profiling based on gas-chromatography time-of-flight mass spectrometry (GC-TOF MS). IGD is a psychiatric disorder instigated by excessive and prolonged internet gaming, which shared many pathological symptoms with attention deficit hyperactivity disorder (ADHD). The prevalence of the disorder has been rapidly increased particularly in East Asia countries (5.9% in South Korea) compared to Europe or North America (0.3-1.0% in United States and 1.16% in Germany). Thus we comparably explored the correlation between plasma metabolites and intemet addiction severity in IGD patients, and potential biomarker composite in combination with clinical parameters. The systematic metabolite profiling of 54 blood samples (normal user, N = 28 and IGD, N = 24) identified a total of 104 metabolites out of 1212 metabolic feature, and revealed unique relation of co-linearly regressed set of plasma metabolites (arabitol, myo-inositol, methionine, pyrrole-2-carboxylic acid, and aspartic acid) with intemet addiction severity scale (R = 0.795). In addition, orthogonal partial least squared discriminant analysis (OPLS-DA) and receiver operating characteristic (ROC) analysis identified the potential biomarker cluster that simultaneously discriminated the different types of the psychiatric status. The potential biomarker re-composite was comprehensively evaluated by a receiver operating characteristic (ROC) analysis where the AUCs were 0.890, 0.880, 1.000, and 0.935 for control, IGD, AD and IGD + AD, respectively (N = 18, 19, 5, and 10) against the others. This exploratory method may provide robustness of predictive diagnosis in population screening of IGD. The identified metabolic features, the relatedness with clinical parameters, and the putative biochemical linkage will hopefully aid future pathological studies in IGD.
引用
收藏
页码:24 / 31
页数:8
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