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Blood metabolic signatures of hikikomori, pathological social withdrawal

Authors :
Daiki Setoyama
Toshio Matsushima
Kohei Hayakawa
Tomohiro Nakao
Shigenobu Kanba
Dongchon Kang
Takahiro A. Kato
Source :
Dialogues in Clinical Neuroscience. 23:14-28
Publication Year :
2021
Publisher :
Informa UK Limited, 2021.

Abstract

A severe form of pathological social withdrawal, 'hikikomori,' has been acknowledged in Japan, spreading worldwide, and becoming a global health issue. The pathophysiology of hikikomori has not been clarified, and its biological traits remain unexplored.Drug-free patients with hikikomori (Long-chain acylcarnitine levels were remarkably higher in patients with hikikomori; bilirubin, arginine, ornithine, and serum arginase were significantly different in male patients with hikikomori. The discriminative random forest model was highly performant, exhibiting an area under the ROC curve of 0.854 (confidential interval = 0.648-1.000). To predict hikikomori severity, a partial least squares PLS-regression model was successfully created with high linearity and practical accuracy. In addition, blood serum uric acid and plasma cholesterol esters contributed to the stratification of cases.These findings reveal the blood metabolic signatures of hikikomori, which are key to elucidating the pathophysiology of hikikomori and also useful as an index for monitoring the treatment course for rehabilitation.

Details

ISSN :
19585969
Volume :
23
Database :
OpenAIRE
Journal :
Dialogues in Clinical Neuroscience
Accession number :
edsair.doi.dedup.....e074e495b608883e85152cd0e88c783e
Full Text :
https://doi.org/10.1080/19585969.2022.2046978