020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury
Introduction Disordered sleep is a critical issue facing the US military due to its negative impact on maintaining force readiness, health, and well-being. Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military ser...
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description | Introduction Disordered sleep is a critical issue facing the US military due to its negative impact on maintaining force readiness, health, and well-being. Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military service members with TBI report poor sleep quality. Disturbed sleep is a hallmark of post-traumatic stress disorder (PTSD), which often coexists with TBI, with upward of 90% of patients with PTSD reporting some form of sleep disturbance. The pathophysiological mechanisms underlying sleep disturbances in TBI patients remain elusive. Exosomal microRNA (exomiRs), which are implicated in intracellular communication, may provide novel insight into molecular networks related to sleep disturbances in TBI patients. Methods ExomiR was extracted from plasma samples of 108 post-9/11 military personnel, and veterans with a history of mild TBI enrolled in a multicenter prospective longitudinal study. ExomiR profiling analysis was conducted using nCounter Human v3 miRNA Expression Panel with 798 microRNA probes. Sleep quality was assessed using the global score on the Pittsburgh Sleep Quality Index (PSQI), and symptoms of PTSD were measured with the PTSD Checklist for DSM-5 (PCL-5). Generalized linear models and Spearman’s correlations were constructed to analyze the relationship between levels of exomiR and global PSQI score. Results We found 17 exomiR that were significantly (P < 0.05) associated with sleep quality and 11 exomiR significantly associated with PTSD symptoms. Two exomiR, has-miR-1268a and has-miR-139-5p, were significantly associated with both sleep quality and PTSD symptoms. The top three significant exomiR associated with sleep quality were hsa-miR-1250-5p (r = 0.2295, p = 0.0171), hsa-miR-3615(r = 0.2207, p = 0.0229), and hsa-miR-122-5p(r = 0.2069, p = 0.0132). Conclusion Overall, these findings suggest that analysis of exosomal miRNA expression may provide novel insights into the underlying pathobiology of sleep quality in military personnel with mild TBI, independent of PTSD symptoms. Further research is needed to understand the biological underpinnings of poor sleep quality in individuals with TBI and to determine causal links. Support (if any) Intramural Research Program at the NINR, Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135. |
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Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military service members with TBI report poor sleep quality. Disturbed sleep is a hallmark of post-traumatic stress disorder (PTSD), which often coexists with TBI, with upward of 90% of patients with PTSD reporting some form of sleep disturbance. The pathophysiological mechanisms underlying sleep disturbances in TBI patients remain elusive. Exosomal microRNA (exomiRs), which are implicated in intracellular communication, may provide novel insight into molecular networks related to sleep disturbances in TBI patients. Methods ExomiR was extracted from plasma samples of 108 post-9/11 military personnel, and veterans with a history of mild TBI enrolled in a multicenter prospective longitudinal study. ExomiR profiling analysis was conducted using nCounter Human v3 miRNA Expression Panel with 798 microRNA probes. Sleep quality was assessed using the global score on the Pittsburgh Sleep Quality Index (PSQI), and symptoms of PTSD were measured with the PTSD Checklist for DSM-5 (PCL-5). Generalized linear models and Spearman’s correlations were constructed to analyze the relationship between levels of exomiR and global PSQI score. Results We found 17 exomiR that were significantly (P < 0.05) associated with sleep quality and 11 exomiR significantly associated with PTSD symptoms. Two exomiR, has-miR-1268a and has-miR-139-5p, were significantly associated with both sleep quality and PTSD symptoms. The top three significant exomiR associated with sleep quality were hsa-miR-1250-5p (r = 0.2295, p = 0.0171), hsa-miR-3615(r = 0.2207, p = 0.0229), and hsa-miR-122-5p(r = 0.2069, p = 0.0132). Conclusion Overall, these findings suggest that analysis of exosomal miRNA expression may provide novel insights into the underlying pathobiology of sleep quality in military personnel with mild TBI, independent of PTSD symptoms. Further research is needed to understand the biological underpinnings of poor sleep quality in individuals with TBI and to determine causal links. Support (if any) Intramural Research Program at the NINR, Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsab072.019</identifier><language>eng</language><publisher>Westchester: Oxford University Press</publisher><subject>Generalized linear models ; MicroRNAs ; Military personnel ; Post traumatic stress disorder ; Sleep ; Traumatic brain injury ; Well being</subject><ispartof>Sleep (New York, N.Y.), 2021-05, Vol.44 (Supplement_2), p.A9-A10</ispartof><rights>Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Mithani, Sara</creatorcontrib><creatorcontrib>Leete, Jacqueline</creatorcontrib><creatorcontrib>Pucci, Josephine</creatorcontrib><creatorcontrib>Guedes, Viivan</creatorcontrib><creatorcontrib>Kenney, Kimbra</creatorcontrib><creatorcontrib>Gill, Jessica</creatorcontrib><creatorcontrib>Werner, J Kent</creatorcontrib><title>020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury</title><title>Sleep (New York, N.Y.)</title><description>Introduction Disordered sleep is a critical issue facing the US military due to its negative impact on maintaining force readiness, health, and well-being. Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military service members with TBI report poor sleep quality. Disturbed sleep is a hallmark of post-traumatic stress disorder (PTSD), which often coexists with TBI, with upward of 90% of patients with PTSD reporting some form of sleep disturbance. The pathophysiological mechanisms underlying sleep disturbances in TBI patients remain elusive. Exosomal microRNA (exomiRs), which are implicated in intracellular communication, may provide novel insight into molecular networks related to sleep disturbances in TBI patients. Methods ExomiR was extracted from plasma samples of 108 post-9/11 military personnel, and veterans with a history of mild TBI enrolled in a multicenter prospective longitudinal study. ExomiR profiling analysis was conducted using nCounter Human v3 miRNA Expression Panel with 798 microRNA probes. Sleep quality was assessed using the global score on the Pittsburgh Sleep Quality Index (PSQI), and symptoms of PTSD were measured with the PTSD Checklist for DSM-5 (PCL-5). Generalized linear models and Spearman’s correlations were constructed to analyze the relationship between levels of exomiR and global PSQI score. Results We found 17 exomiR that were significantly (P < 0.05) associated with sleep quality and 11 exomiR significantly associated with PTSD symptoms. Two exomiR, has-miR-1268a and has-miR-139-5p, were significantly associated with both sleep quality and PTSD symptoms. The top three significant exomiR associated with sleep quality were hsa-miR-1250-5p (r = 0.2295, p = 0.0171), hsa-miR-3615(r = 0.2207, p = 0.0229), and hsa-miR-122-5p(r = 0.2069, p = 0.0132). Conclusion Overall, these findings suggest that analysis of exosomal miRNA expression may provide novel insights into the underlying pathobiology of sleep quality in military personnel with mild TBI, independent of PTSD symptoms. Further research is needed to understand the biological underpinnings of poor sleep quality in individuals with TBI and to determine causal links. Support (if any) Intramural Research Program at the NINR, Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135.</description><subject>Generalized linear models</subject><subject>MicroRNAs</subject><subject>Military personnel</subject><subject>Post traumatic stress disorder</subject><subject>Sleep</subject><subject>Traumatic brain injury</subject><subject>Well being</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotkFtPAjEQhRujiYj-AN-a-LwwbffSPiJBJUFF5X3TXTqhZC_Y7kbRP28RniYz58xMzkfILYMRAyXGvjJmN_7xuoCMj4CpMzJgSQKRCvI5GQBLWSQZJJfkyvsthD5WYkB-gQP9OCzTt15XttvTCaIpO0-7jaHLSvta09l369taV_TZlq59f5mEyc4Z723b0KVr0VaG2ibI4YJ2e7o0zrdNYyr6ZbsNXTnd17qzJb13OvjmzbZ3-2tygbry5uZUh2T1MFtNn6LF6-N8OllEJWNCRbFIVbEuMokylZKrQmGCUjKUKIosZlwliLBGWXBEIRRyACxkFvN4DaUSQ3J3PLtz7WdvfJdv29414WPOMwmCCwlpcLGjKwT03hnMd87WIUvOID8gzv8R5yfEeUAs_gA9-3Ie</recordid><startdate>20210503</startdate><enddate>20210503</enddate><creator>Mithani, Sara</creator><creator>Leete, Jacqueline</creator><creator>Pucci, Josephine</creator><creator>Guedes, Viivan</creator><creator>Kenney, Kimbra</creator><creator>Gill, Jessica</creator><creator>Werner, J Kent</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20210503</creationdate><title>020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury</title><author>Mithani, Sara ; Leete, Jacqueline ; Pucci, Josephine ; Guedes, Viivan ; Kenney, Kimbra ; Gill, Jessica ; Werner, J Kent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1139-4369bdb78f868829b9f5f881f8f3b741295ff0df8b2ff339f200fb87424d0c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Generalized linear models</topic><topic>MicroRNAs</topic><topic>Military personnel</topic><topic>Post traumatic stress disorder</topic><topic>Sleep</topic><topic>Traumatic brain injury</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mithani, Sara</creatorcontrib><creatorcontrib>Leete, Jacqueline</creatorcontrib><creatorcontrib>Pucci, Josephine</creatorcontrib><creatorcontrib>Guedes, Viivan</creatorcontrib><creatorcontrib>Kenney, Kimbra</creatorcontrib><creatorcontrib>Gill, Jessica</creatorcontrib><creatorcontrib>Werner, J Kent</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>Research Library (Alumni Edition)</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>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</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><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mithani, Sara</au><au>Leete, Jacqueline</au><au>Pucci, Josephine</au><au>Guedes, Viivan</au><au>Kenney, Kimbra</au><au>Gill, Jessica</au><au>Werner, J Kent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><date>2021-05-03</date><risdate>2021</risdate><volume>44</volume><issue>Supplement_2</issue><spage>A9</spage><epage>A10</epage><pages>A9-A10</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Introduction Disordered sleep is a critical issue facing the US military due to its negative impact on maintaining force readiness, health, and well-being. Traumatic brain injury (TBI) is highly prevalent among military personnel and commonly co-occurs with disturbed sleep: up to 89% of military service members with TBI report poor sleep quality. Disturbed sleep is a hallmark of post-traumatic stress disorder (PTSD), which often coexists with TBI, with upward of 90% of patients with PTSD reporting some form of sleep disturbance. The pathophysiological mechanisms underlying sleep disturbances in TBI patients remain elusive. Exosomal microRNA (exomiRs), which are implicated in intracellular communication, may provide novel insight into molecular networks related to sleep disturbances in TBI patients. Methods ExomiR was extracted from plasma samples of 108 post-9/11 military personnel, and veterans with a history of mild TBI enrolled in a multicenter prospective longitudinal study. ExomiR profiling analysis was conducted using nCounter Human v3 miRNA Expression Panel with 798 microRNA probes. Sleep quality was assessed using the global score on the Pittsburgh Sleep Quality Index (PSQI), and symptoms of PTSD were measured with the PTSD Checklist for DSM-5 (PCL-5). Generalized linear models and Spearman’s correlations were constructed to analyze the relationship between levels of exomiR and global PSQI score. Results We found 17 exomiR that were significantly (P < 0.05) associated with sleep quality and 11 exomiR significantly associated with PTSD symptoms. Two exomiR, has-miR-1268a and has-miR-139-5p, were significantly associated with both sleep quality and PTSD symptoms. The top three significant exomiR associated with sleep quality were hsa-miR-1250-5p (r = 0.2295, p = 0.0171), hsa-miR-3615(r = 0.2207, p = 0.0229), and hsa-miR-122-5p(r = 0.2069, p = 0.0132). Conclusion Overall, these findings suggest that analysis of exosomal miRNA expression may provide novel insights into the underlying pathobiology of sleep quality in military personnel with mild TBI, independent of PTSD symptoms. Further research is needed to understand the biological underpinnings of poor sleep quality in individuals with TBI and to determine causal links. Support (if any) Intramural Research Program at the NINR, Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC) Award W81XWH-13-2-0095 and Department of Veterans Affairs CENC Award I01 CX001135.</abstract><cop>Westchester</cop><pub>Oxford University Press</pub><doi>10.1093/sleep/zsab072.019</doi><oa>free_for_read</oa></addata></record> |
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subjects | Generalized linear models MicroRNAs Military personnel Post traumatic stress disorder Sleep Traumatic brain injury Well being |
title | 020 Sleep Quality Affects the Plasma Exosomal MicroRNA Expression Profile in Military Personnel with Traumatic Brain Injury |
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