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Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing
BACKGROUND: Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could increase diagnostic accuracy and improve clinical outcomes. T...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533415/ https://www.ncbi.nlm.nih.gov/pubmed/33135344 http://dx.doi.org/10.1002/ctm2.197 |
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author | Hicks, Steven D. Onks, Cayce Kim, Raymond Y. Zhen, Kevin J. Loeffert, Jayson Loeffert, Andrea C. Olympia, Robert P. Fedorchak, Gregory DeVita, Samantha Rangnekar, Aakanksha Leddy, John Haider, Mohammad N. Gagnon, Zofia McLoughlin, Callan D. Badia, Matthew Randall, Jason Madeira, Miguel Yengo‐Kahn, Aaron M. Wenzel, Justin Heller, Matthew Zwibel, Hallie Roberts, Aaron Johnson, Samantha Monteith, Chuck Dretsch, Michael N. Campbell, Thomas R. Mannix, Rebekah Neville, Christopher Middleton, Frank |
author_facet | Hicks, Steven D. Onks, Cayce Kim, Raymond Y. Zhen, Kevin J. Loeffert, Jayson Loeffert, Andrea C. Olympia, Robert P. Fedorchak, Gregory DeVita, Samantha Rangnekar, Aakanksha Leddy, John Haider, Mohammad N. Gagnon, Zofia McLoughlin, Callan D. Badia, Matthew Randall, Jason Madeira, Miguel Yengo‐Kahn, Aaron M. Wenzel, Justin Heller, Matthew Zwibel, Hallie Roberts, Aaron Johnson, Samantha Monteith, Chuck Dretsch, Michael N. Campbell, Thomas R. Mannix, Rebekah Neville, Christopher Middleton, Frank |
author_sort | Hicks, Steven D. |
collection | PubMed |
description | BACKGROUND: Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could increase diagnostic accuracy and improve clinical outcomes. The aim of this study was to assess the ability of salivary noncoding RNA (ncRNA) to serve as a diagnostic adjunct to current clinical tools. We hypothesized that saliva ncRNA levels would demonstrate comparable accuracy for identifying mTBI as measures of symptom burden, neurocognition, and balance. METHODS: This case‐control study involved 538 individuals. Participants included 251 individuals with mTBI, enrolled ≤14 days postinjury, from 11 clinical sites. Saliva samples (n = 679) were collected at five time points (≤3, 4‐7, 8‐14, 15‐30, and 31‐60 days post‐mTBI). Levels of ncRNAs (microRNAs, small nucleolar RNAs, and piwi‐interacting RNAs) were quantified within each sample using RNA sequencing. The first sample from each mTBI participant was compared to saliva samples from 287 controls. Samples were divided into testing (n = 430; mTBI = 201 and control = 239) and training sets (n = 108; mTBI = 50 and control = 58). The test set was used to identify ncRNA diagnostic candidates and create a diagnostic model. Model accuracy was assessed in the naïve test set. RESULTS: A model utilizing seven ncRNA ratios, along with participant age and chronic headache status, differentiated mTBI and control participants with a cross‐validated area under the curve (AUC) of .857 in the training set (95% CI, .816‐.903) and .823 in the naïve test set. In a subset of participants (n = 321; mTBI = 176 and control = 145) assessed for symptom burden (Post‐Concussion Symptom Scale), as well as neurocognition and balance (ClearEdge System), these clinical measures yielded cross‐validated AUC of .835 (95% CI, .782‐.880) and .853 (95% CI, .803‐.899), respectively. A model employing symptom burden and four neurocognitive measures identified mTBI participants with similar AUC (.888; CI, .845‐.925) as symptom burden and four ncRNAs (.932; 95% CI, .890‐.965). CONCLUSION: Salivary ncRNA levels represent a noninvasive, biologic measure that can aid objective, accurate diagnosis of mTBI. |
format | Online Article Text |
id | pubmed-7533415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75334152020-10-07 Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing Hicks, Steven D. Onks, Cayce Kim, Raymond Y. Zhen, Kevin J. Loeffert, Jayson Loeffert, Andrea C. Olympia, Robert P. Fedorchak, Gregory DeVita, Samantha Rangnekar, Aakanksha Leddy, John Haider, Mohammad N. Gagnon, Zofia McLoughlin, Callan D. Badia, Matthew Randall, Jason Madeira, Miguel Yengo‐Kahn, Aaron M. Wenzel, Justin Heller, Matthew Zwibel, Hallie Roberts, Aaron Johnson, Samantha Monteith, Chuck Dretsch, Michael N. Campbell, Thomas R. Mannix, Rebekah Neville, Christopher Middleton, Frank Clin Transl Med Research Articles BACKGROUND: Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could increase diagnostic accuracy and improve clinical outcomes. The aim of this study was to assess the ability of salivary noncoding RNA (ncRNA) to serve as a diagnostic adjunct to current clinical tools. We hypothesized that saliva ncRNA levels would demonstrate comparable accuracy for identifying mTBI as measures of symptom burden, neurocognition, and balance. METHODS: This case‐control study involved 538 individuals. Participants included 251 individuals with mTBI, enrolled ≤14 days postinjury, from 11 clinical sites. Saliva samples (n = 679) were collected at five time points (≤3, 4‐7, 8‐14, 15‐30, and 31‐60 days post‐mTBI). Levels of ncRNAs (microRNAs, small nucleolar RNAs, and piwi‐interacting RNAs) were quantified within each sample using RNA sequencing. The first sample from each mTBI participant was compared to saliva samples from 287 controls. Samples were divided into testing (n = 430; mTBI = 201 and control = 239) and training sets (n = 108; mTBI = 50 and control = 58). The test set was used to identify ncRNA diagnostic candidates and create a diagnostic model. Model accuracy was assessed in the naïve test set. RESULTS: A model utilizing seven ncRNA ratios, along with participant age and chronic headache status, differentiated mTBI and control participants with a cross‐validated area under the curve (AUC) of .857 in the training set (95% CI, .816‐.903) and .823 in the naïve test set. In a subset of participants (n = 321; mTBI = 176 and control = 145) assessed for symptom burden (Post‐Concussion Symptom Scale), as well as neurocognition and balance (ClearEdge System), these clinical measures yielded cross‐validated AUC of .835 (95% CI, .782‐.880) and .853 (95% CI, .803‐.899), respectively. A model employing symptom burden and four neurocognitive measures identified mTBI participants with similar AUC (.888; CI, .845‐.925) as symptom burden and four ncRNAs (.932; 95% CI, .890‐.965). CONCLUSION: Salivary ncRNA levels represent a noninvasive, biologic measure that can aid objective, accurate diagnosis of mTBI. John Wiley and Sons Inc. 2020-10-04 /pmc/articles/PMC7533415/ /pubmed/33135344 http://dx.doi.org/10.1002/ctm2.197 Text en © 2020 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Hicks, Steven D. Onks, Cayce Kim, Raymond Y. Zhen, Kevin J. Loeffert, Jayson Loeffert, Andrea C. Olympia, Robert P. Fedorchak, Gregory DeVita, Samantha Rangnekar, Aakanksha Leddy, John Haider, Mohammad N. Gagnon, Zofia McLoughlin, Callan D. Badia, Matthew Randall, Jason Madeira, Miguel Yengo‐Kahn, Aaron M. Wenzel, Justin Heller, Matthew Zwibel, Hallie Roberts, Aaron Johnson, Samantha Monteith, Chuck Dretsch, Michael N. Campbell, Thomas R. Mannix, Rebekah Neville, Christopher Middleton, Frank Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title | Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title_full | Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title_fullStr | Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title_full_unstemmed | Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title_short | Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing |
title_sort | diagnosing mild traumatic brain injury using saliva rna compared to cognitive and balance testing |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533415/ https://www.ncbi.nlm.nih.gov/pubmed/33135344 http://dx.doi.org/10.1002/ctm2.197 |
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