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Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis

Background and Purpose—A limitation when making early decisions on stroke management is the lack of rapid diagnostic and prognostic testing. Our study sought to identify peripheral blood RNA biomarkers associated with stroke. The secondary aims were to assess the discriminative capacity of RNA bioma...

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Institution:Universidad EIA
Main Authors: Lopez-Jaramillo, Patricio, Raman, Kripa, O’Donnell, Martin J., Czlonkowska, Anna, Duarte, Yan Carlos, Peñaherrera, Ernesto, Sharma, Mike, Shoamanesh, Ashkan, Skowronska, Marta, Yusuf, Salim, Paré, Guillaume
Format: Artículo de revista
Language:English
Published: 2016-01-12
Subjects:
Biomarkers
Blood
Gene expression profiling
Prognosis
Stroke
Online Access:https://repositorio.udes.edu.co/handle/001/3239
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id oai:repositorio.udes.edu.co:001-3239
recordtype dspace
spelling Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
2019-07-02T12:33:44Z
2019-07-02T12:33:44Z
2016-01-12
7 p.
Background and Purpose—A limitation when making early decisions on stroke management is the lack of rapid diagnostic and prognostic testing. Our study sought to identify peripheral blood RNA biomarkers associated with stroke. The secondary aims were to assess the discriminative capacity of RNA biomarkers for primary stroke type and stroke prognosis at 1-month. Methods—Whole-blood gene expression profiling was conducted on the discovery cohort: 129 first-time stroke cases that had blood sampling within 5 days of symptom onset and 170 control participants with no history of stroke. Results—Through multiple regression analysis, we determined that expression of the gene MCEMP1 had the strongest association with stroke of 11181 genes tested. MCEMP1 increased by 2.4-fold in stroke when compared with controls (95% confidence interval, 2.0–2.8; P=8.2×10−22). In addition, expression was elevated in intracerebral hemorrhage when compared with ischemic stroke cases (P=3.9×10−4). MCEMP1 was also highest soon after symptom onset and had no association with stroke risk factors. Furthermore, MCEMP1 expression independently improved discrimination of 1-month outcome. Indeed, discrimination models for disability and mortality that included MCEMP1 expression, baseline modified Rankin Scale score, and primary stroke type improved discrimination when compared with a model without MCEMP1 (disability Net Reclassification Index, 0.76; P=3.0×10−6 and mortality Net Reclassification Index, 1.3; P=1.1×10−9). Significant associations with MCEMP1 were confirmed in an independent validation cohort of 28 stroke cases and 34 controls. Conclusions—This study demonstrates that peripheral blood expression of MCEMP1 may have utility for stroke diagnosis and as a prognostic biomarker of stroke outcome at 1-month.
application/pdf
10.1161/STROKEAHA.115.011854
1524-4628
0039-2499
https://repositorio.udes.edu.co/handle/001/3239
eng
Stroke
Derechos Reservados - American Heart Association, Inc., 2016
info:eu-repo/semantics/openAccess
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
https://creativecommons.org/licenses/by-nc/4.0/
https://www.ahajournals.org/doi/pdf/10.1161/STROKEAHA.115.011854
Biomarkers
Blood
Gene expression profiling
Prognosis
Stroke
Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
Artículo de revista
http://purl.org/coar/resource_type/c_6501
Text
info:eu-repo/semantics/article
http://purl.org/redcol/resource_type/ART
info:eu-repo/semantics/publishedVersion
Publication
http://purl.org/coar/access_right/c_abf2
http://purl.org/coar/version/c_970fb48d4fbd8a85
institution Universidad EIA
collection d_repositorio.udes.edu.co-DSPACE
title Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
spellingShingle Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
Biomarkers
Blood
Gene expression profiling
Prognosis
Stroke
title_short Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
title_full Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
title_fullStr Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
title_full_unstemmed Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis
title_sort peripheral blood mcemp1 gene expression as a biomarker for stroke prognosis
author Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
author_facet Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
Lopez-Jaramillo, Patricio
Raman, Kripa
O’Donnell, Martin J.
Czlonkowska, Anna
Duarte, Yan Carlos
Peñaherrera, Ernesto
Sharma, Mike
Shoamanesh, Ashkan
Skowronska, Marta
Yusuf, Salim
Paré, Guillaume
building Repositorio digital
topic Biomarkers
Blood
Gene expression profiling
Prognosis
Stroke
topic_facet Biomarkers
Blood
Gene expression profiling
Prognosis
Stroke
publishDate 2016-01-12
language English
format Artículo de revista
description Background and Purpose—A limitation when making early decisions on stroke management is the lack of rapid diagnostic and prognostic testing. Our study sought to identify peripheral blood RNA biomarkers associated with stroke. The secondary aims were to assess the discriminative capacity of RNA biomarkers for primary stroke type and stroke prognosis at 1-month. Methods—Whole-blood gene expression profiling was conducted on the discovery cohort: 129 first-time stroke cases that had blood sampling within 5 days of symptom onset and 170 control participants with no history of stroke. Results—Through multiple regression analysis, we determined that expression of the gene MCEMP1 had the strongest association with stroke of 11181 genes tested. MCEMP1 increased by 2.4-fold in stroke when compared with controls (95% confidence interval, 2.0–2.8; P=8.2×10−22). In addition, expression was elevated in intracerebral hemorrhage when compared with ischemic stroke cases (P=3.9×10−4). MCEMP1 was also highest soon after symptom onset and had no association with stroke risk factors. Furthermore, MCEMP1 expression independently improved discrimination of 1-month outcome. Indeed, discrimination models for disability and mortality that included MCEMP1 expression, baseline modified Rankin Scale score, and primary stroke type improved discrimination when compared with a model without MCEMP1 (disability Net Reclassification Index, 0.76; P=3.0×10−6 and mortality Net Reclassification Index, 1.3; P=1.1×10−9). Significant associations with MCEMP1 were confirmed in an independent validation cohort of 28 stroke cases and 34 controls. Conclusions—This study demonstrates that peripheral blood expression of MCEMP1 may have utility for stroke diagnosis and as a prognostic biomarker of stroke outcome at 1-month.
issn 0039-2499
url https://repositorio.udes.edu.co/handle/001/3239
url_str_mv https://repositorio.udes.edu.co/handle/001/3239
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