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

Authors
 Yeo Ul Cho  ;  Deokjong Lee  ;  Jung-Eun Lee  ;  Kyoung Heon Kim  ;  Do Yup Lee  ;  Young-Chul Jung 
Citation
 JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, Vol.1057 : 24-31, 2017 
Journal Title
 JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES 
ISSN
 1570-0232 
Issue Date
2017
MeSH
Aspartic Acid/analysis ; Aspartic Acid/blood ; Behavior, Addictive ; Biomarkers/blood* ; Blood Chemical Analysis ; Gas Chromatography-Mass Spectrometry ; Humans ; Inositol/blood ; Internet* ; Male ; Mental Disorders/blood* ; Metabolomics/methods* ; Methionine/blood ; Proline/analogs & derivatives ; Proline/blood ; ROC Curve ; Republic of Korea ; Sugar Alcohols/blood ; Video Games* ; Young Adult
Keywords
Biomarker cluster ; Gas chromatography time-of-flight mass spectrometry (GC-TOF MS) ; Internet addiction severity ; Internet gaming disorder (IGD) ; Plasma metabolite
Abstract
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 internet 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 internet 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.
Full Text
https://www.sciencedirect.com/science/article/pii/S1570023217301496
DOI
10.1016/j.jchromb.2017.04.046
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Lee, Deokjong(이덕종) ORCID logo https://orcid.org/0000-0002-5425-4677
Jung, Young Chul(정영철) ORCID logo https://orcid.org/0000-0002-0578-2510
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160517
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