Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences

Author:

Tomita Yasufumi,Suzuki Kazuhiro,Yamasaki SyudoORCID,Toriumi KazuyaORCID,Miyashita MitsuhiroORCID,Ando ShuntaroORCID,Endo KaoriORCID,Yoshikawa Akane,Tabata Koichi,Usami Satoshi,Hiraiwa-Hasegawa Mariko,Itokawa Masanari,Kawaji HideyaORCID,Kasai KiyotoORCID,Nishida Atsushi,Arai MakotoORCID

Abstract

AbstractPsychotic-like experiences (PLEs) occur occasionally in adolescence and mostly disappear with increasing age. Their presence, if persistent, is considered a robust risk factor for subsequent psychiatric disorders. To date, only a few biological markers have been investigated for persistent PLE prediction. This study identified urinary exosomal microRNAs that can serve as predictive biomarkers for persistent PLEs. This study was part of a population-based biomarker subsample study of the Tokyo Teen Cohort Study. A total of 345 participants aged 13 (baseline) and 14 (follow-up) years underwent PLE assessments by experienced psychiatrists using semi-structured interviews. We defined remitted and persistent PLEs based on longitudinal profiles. We obtained urine at baseline and the expression levels of urinary exosomal miRNAs were compared between 15 individuals with persistent PLEs and 15 age- and sex-matched individuals with remitted PLEs. We constructed a logistic regression model to examine whether miRNA expression levels could predict persistent PLEs. We identified six significant differentially expressed microRNAs, namely hsa-miR-486-5p, hsa-miR-199a-3p, hsa-miR-144-5p, hsa-miR-451a, hsa-miR-143-3p, and hsa-miR-142-3p. The predictive model showed an area under the curve of 0.860 (95% confidence interval: 0.713–0.993) for five-fold cross-validation. We found a subset of urinary exosomal microRNAs that were differentially expressed in persistent PLEs and presented the likelihood that a microRNA-based statistical model could predict them with high accuracy. Therefore, urine exosomal miRNAs may serve as novel biomarkers for the risk of psychiatric disorders.

Funder

MEXT | Japan Society for the Promotion of Science

Uehara Memorial Foundation

SENSHIN Medical Research Foundation

Sumitomo Foundation

MEXT | Japan Science and Technology Agency

Japan Agency for Medical Research and Development

Publisher

Springer Science and Business Media LLC

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