Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences
Psychotic-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 predi...
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creator | Tomita, Yasufumi Suzuki, Kazuhiro Yamasaki, Syudo Toriumi, Kazuya Miyashita, Mitsuhiro Ando, Shuntaro Endo, Kaori Yoshikawa, Akane Tabata, Koichi Usami, Satoshi Hiraiwa-Hasegawa, Mariko Itokawa, Masanari Kawaji, Hideya Kasai, Kiyoto Nishida, Atsushi Arai, Makoto |
description | Psychotic-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. |
doi_str_mv | 10.1038/s41537-023-00340-5 |
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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.</description><identifier>ISSN: 2754-6993</identifier><identifier>EISSN: 2754-6993</identifier><identifier>EISSN: 2334-265X</identifier><identifier>DOI: 10.1038/s41537-023-00340-5</identifier><identifier>PMID: 36906656</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/53 ; 692/699/476/1761 ; Biomarkers ; Cognitive Psychology ; Medicine ; Medicine & Public Health ; Mental disorders ; MicroRNAs ; Neurology ; Neurosciences ; Psychiatry ; Psychosis</subject><ispartof>NPJ schizophrenia, 2023-03, Vol.9 (1), p.14-14, Article 14</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-d3e31c0f0514ab711c4bab41c019fd9617aa057777e76aaa3be580e9aaf3b4163</citedby><cites>FETCH-LOGICAL-c541t-d3e31c0f0514ab711c4bab41c019fd9617aa057777e76aaa3be580e9aaf3b4163</cites><orcidid>0000-0002-4443-4535 ; 0000-0002-9016-6404 ; 0000-0003-3400-9815 ; 0000-0002-0575-0308 ; 0000-0002-7798-1834 ; 0000-0003-0854-5120 ; 0000-0003-1595-693X ; 0000-0002-8593-3269</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008540/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008540/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27926,27927,41122,42191,51578,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36906656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tomita, Yasufumi</creatorcontrib><creatorcontrib>Suzuki, Kazuhiro</creatorcontrib><creatorcontrib>Yamasaki, Syudo</creatorcontrib><creatorcontrib>Toriumi, Kazuya</creatorcontrib><creatorcontrib>Miyashita, Mitsuhiro</creatorcontrib><creatorcontrib>Ando, Shuntaro</creatorcontrib><creatorcontrib>Endo, Kaori</creatorcontrib><creatorcontrib>Yoshikawa, Akane</creatorcontrib><creatorcontrib>Tabata, Koichi</creatorcontrib><creatorcontrib>Usami, Satoshi</creatorcontrib><creatorcontrib>Hiraiwa-Hasegawa, Mariko</creatorcontrib><creatorcontrib>Itokawa, Masanari</creatorcontrib><creatorcontrib>Kawaji, Hideya</creatorcontrib><creatorcontrib>Kasai, Kiyoto</creatorcontrib><creatorcontrib>Nishida, Atsushi</creatorcontrib><creatorcontrib>Arai, Makoto</creatorcontrib><title>Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences</title><title>NPJ schizophrenia</title><addtitle>Schizophr</addtitle><addtitle>Schizophrenia (Heidelb)</addtitle><description>Psychotic-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.</description><subject>692/53</subject><subject>692/699/476/1761</subject><subject>Biomarkers</subject><subject>Cognitive Psychology</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental disorders</subject><subject>MicroRNAs</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Psychiatry</subject><subject>Psychosis</subject><issn>2754-6993</issn><issn>2754-6993</issn><issn>2334-265X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1v1DAQhi0EolXpH-CAInHhEhjbsROfUFWVD6kCCdEjshzvpHWbjYMnW7H_nlm2lMIBXzzyPPN6Zl4hnkt4LUF3b6iRRrc1KF0D6AZq80gcqtY0tXVOP34QH4hjomsAUE6pTrdPxYG2Dqw19lB8uyhpCmVb4Y9MeR3Gap1iyV8-nVAVqJoLrlJc0i1WfeJ0ucFC1ZBLNXOQaMFpqWbaxqu8pFiP6QZZiXMJp4j0TDwZwkh4fHcfiYt3Z19PP9Tnn99_PD05r6Np5FKvNGoZYQAjm9C3UsamD33DT9INK2dlGwKYlg-2NoSgezQdoAth0IxZfSTe7nXnTb_GVeSuShj9XBK3vPU5JP93ZkpX_jLfeslr6UwDrPDqTqHk7xukxa8TRRzHMGHekFdtZ8F1yuzQl_-g13lTJp5vRxnesHWKKbWneJtEBYf7biT4nYN-76BnB_0vB73hohcP57gv-e0XA3oPEKemSyx__v6P7E9prKir</recordid><startdate>20230311</startdate><enddate>20230311</enddate><creator>Tomita, Yasufumi</creator><creator>Suzuki, Kazuhiro</creator><creator>Yamasaki, Syudo</creator><creator>Toriumi, Kazuya</creator><creator>Miyashita, Mitsuhiro</creator><creator>Ando, Shuntaro</creator><creator>Endo, Kaori</creator><creator>Yoshikawa, Akane</creator><creator>Tabata, Koichi</creator><creator>Usami, Satoshi</creator><creator>Hiraiwa-Hasegawa, Mariko</creator><creator>Itokawa, Masanari</creator><creator>Kawaji, Hideya</creator><creator>Kasai, Kiyoto</creator><creator>Nishida, Atsushi</creator><creator>Arai, Makoto</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2M</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4443-4535</orcidid><orcidid>https://orcid.org/0000-0002-9016-6404</orcidid><orcidid>https://orcid.org/0000-0003-3400-9815</orcidid><orcidid>https://orcid.org/0000-0002-0575-0308</orcidid><orcidid>https://orcid.org/0000-0002-7798-1834</orcidid><orcidid>https://orcid.org/0000-0003-0854-5120</orcidid><orcidid>https://orcid.org/0000-0003-1595-693X</orcidid><orcidid>https://orcid.org/0000-0002-8593-3269</orcidid></search><sort><creationdate>20230311</creationdate><title>Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences</title><author>Tomita, Yasufumi ; 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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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>36906656</pmid><doi>10.1038/s41537-023-00340-5</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4443-4535</orcidid><orcidid>https://orcid.org/0000-0002-9016-6404</orcidid><orcidid>https://orcid.org/0000-0003-3400-9815</orcidid><orcidid>https://orcid.org/0000-0002-0575-0308</orcidid><orcidid>https://orcid.org/0000-0002-7798-1834</orcidid><orcidid>https://orcid.org/0000-0003-0854-5120</orcidid><orcidid>https://orcid.org/0000-0003-1595-693X</orcidid><orcidid>https://orcid.org/0000-0002-8593-3269</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 692/53 692/699/476/1761 Biomarkers Cognitive Psychology Medicine Medicine & Public Health Mental disorders MicroRNAs Neurology Neurosciences Psychiatry Psychosis |
title | Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences |
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