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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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