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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NPJ schizophrenia 2023-03, Vol.9 (1), p.14-14, Article 14
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 14
container_issue 1
container_start_page 14
container_title NPJ schizophrenia
container_volume 9
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
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10008540</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2785837692</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-d3e31c0f0514ab711c4bab41c019fd9617aa057777e76aaa3be580e9aaf3b4163</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhi0EolXpH-CAInHhEhjbsROfUFWVD6kCCdEjshzvpHWbjYMnW7H_nlm2lMIBXzzyPPN6Zl4hnkt4LUF3b6iRRrc1KF0D6AZq80gcqtY0tXVOP34QH4hjomsAUE6pTrdPxYG2Dqw19lB8uyhpCmVb4Y9MeR3Gap1iyV8-nVAVqJoLrlJc0i1WfeJ0ucFC1ZBLNXOQaMFpqWbaxqu8pFiP6QZZiXMJp4j0TDwZwkh4fHcfiYt3Z19PP9Tnn99_PD05r6Np5FKvNGoZYQAjm9C3UsamD33DT9INK2dlGwKYlg-2NoSgezQdoAth0IxZfSTe7nXnTb_GVeSuShj9XBK3vPU5JP93ZkpX_jLfeslr6UwDrPDqTqHk7xukxa8TRRzHMGHekFdtZ8F1yuzQl_-g13lTJp5vRxnesHWKKbWneJtEBYf7biT4nYN-76BnB_0vB73hohcP57gv-e0XA3oPEKemSyx__v6P7E9prKir</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2785837692</pqid></control><display><type>article</type><title>Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences</title><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 &amp; 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 &amp; 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 ; 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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-d3e31c0f0514ab711c4bab41c019fd9617aa057777e76aaa3be580e9aaf3b4163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>692/53</topic><topic>692/699/476/1761</topic><topic>Biomarkers</topic><topic>Cognitive Psychology</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Mental disorders</topic><topic>MicroRNAs</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Psychiatry</topic><topic>Psychosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Psychology Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NPJ schizophrenia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tomita, Yasufumi</au><au>Suzuki, Kazuhiro</au><au>Yamasaki, Syudo</au><au>Toriumi, Kazuya</au><au>Miyashita, Mitsuhiro</au><au>Ando, Shuntaro</au><au>Endo, Kaori</au><au>Yoshikawa, Akane</au><au>Tabata, Koichi</au><au>Usami, Satoshi</au><au>Hiraiwa-Hasegawa, Mariko</au><au>Itokawa, Masanari</au><au>Kawaji, Hideya</au><au>Kasai, Kiyoto</au><au>Nishida, Atsushi</au><au>Arai, Makoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences</atitle><jtitle>NPJ schizophrenia</jtitle><stitle>Schizophr</stitle><addtitle>Schizophrenia (Heidelb)</addtitle><date>2023-03-11</date><risdate>2023</risdate><volume>9</volume><issue>1</issue><spage>14</spage><epage>14</epage><pages>14-14</pages><artnum>14</artnum><issn>2754-6993</issn><eissn>2754-6993</eissn><eissn>2334-265X</eissn><abstract>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.</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>
fulltext fulltext
identifier ISSN: 2754-6993
ispartof NPJ schizophrenia, 2023-03, Vol.9 (1), p.14-14, Article 14
issn 2754-6993
2754-6993
2334-265X
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10008540
source DOAJ Directory of Open Access Journals; PubMed Central Open Access; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T03%3A30%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Urinary%20exosomal%20microRNAs%20as%20predictive%20biomarkers%20for%20persistent%20psychotic-like%20experiences&rft.jtitle=NPJ%20schizophrenia&rft.au=Tomita,%20Yasufumi&rft.date=2023-03-11&rft.volume=9&rft.issue=1&rft.spage=14&rft.epage=14&rft.pages=14-14&rft.artnum=14&rft.issn=2754-6993&rft.eissn=2754-6993&rft_id=info:doi/10.1038/s41537-023-00340-5&rft_dat=%3Cproquest_pubme%3E2785837692%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2785837692&rft_id=info:pmid/36906656&rfr_iscdi=true