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Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis
Cardiovascular disease (CVD) is a major killer of the human population around the world. Identifying effective diagnostic biomarkers for CVDs is particularly important in order to guide optimizing treatment. Accumulating evidence on aberrantly regulated circulating long non-coding RNAs (LncRNAs) pro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435511/ https://www.ncbi.nlm.nih.gov/pubmed/30361292 http://dx.doi.org/10.1042/BSR20181610 |
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author | Luo, Fei Wang, Tao Zeng, Lini Zhu, Shanshan Cao, Wenjun Wu, Wei Wu, Hongfu Zou, Tangbin |
author_facet | Luo, Fei Wang, Tao Zeng, Lini Zhu, Shanshan Cao, Wenjun Wu, Wei Wu, Hongfu Zou, Tangbin |
author_sort | Luo, Fei |
collection | PubMed |
description | Cardiovascular disease (CVD) is a major killer of the human population around the world. Identifying effective diagnostic biomarkers for CVDs is particularly important in order to guide optimizing treatment. Accumulating evidence on aberrantly regulated circulating long non-coding RNAs (LncRNAs) promise to serve as a diagnostic or prognostic biomarker for various types of CVDs. We summarized studies to identify the potential diagnostic values of LncRNAs in CVD patients. We included articles reporting on the association between LncRNAs and diagnosis in CVDs. We calculated sensitivities, specificities, and area under the curves of LncRNAs. The pooled overall sensitivity and specificity for LncRNAs expression profile in differentiating CVD patients from controls (non-CVDs or healthy subjects) were 0.74 (95%CI 0.68–0.80) and 0.81 (95%CI 0.76–0.85), respectively; the overall positive likelihood ratio, 3.9 (95%CI 3.1–4.9); the negative likelihood ratio, 0.32 (95%CI 0.25–0.40); corresponding to an area under curve of 0.85 (95%CI 0.82–0.88) and overall diagnostic odds ratio 12 (95%CI 9–18). Subgroup analysis showed that the detection of LncRNAs expression in plasma substantially improved the diagnostic accuracy. Likewise, meta-regression analysis indicated that the detection method and sample size were the main source of heterogeneity. All these results suggested a relatively good reference value of LncRNAs as auxiliary biomarkers for CVDs, and should be considered in cases where the diagnosis is uncertain. Population-based prospective cohort studies are warranted to confirm our findings. |
format | Online Article Text |
id | pubmed-6435511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64355112019-04-12 Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis Luo, Fei Wang, Tao Zeng, Lini Zhu, Shanshan Cao, Wenjun Wu, Wei Wu, Hongfu Zou, Tangbin Biosci Rep Research Articles Cardiovascular disease (CVD) is a major killer of the human population around the world. Identifying effective diagnostic biomarkers for CVDs is particularly important in order to guide optimizing treatment. Accumulating evidence on aberrantly regulated circulating long non-coding RNAs (LncRNAs) promise to serve as a diagnostic or prognostic biomarker for various types of CVDs. We summarized studies to identify the potential diagnostic values of LncRNAs in CVD patients. We included articles reporting on the association between LncRNAs and diagnosis in CVDs. We calculated sensitivities, specificities, and area under the curves of LncRNAs. The pooled overall sensitivity and specificity for LncRNAs expression profile in differentiating CVD patients from controls (non-CVDs or healthy subjects) were 0.74 (95%CI 0.68–0.80) and 0.81 (95%CI 0.76–0.85), respectively; the overall positive likelihood ratio, 3.9 (95%CI 3.1–4.9); the negative likelihood ratio, 0.32 (95%CI 0.25–0.40); corresponding to an area under curve of 0.85 (95%CI 0.82–0.88) and overall diagnostic odds ratio 12 (95%CI 9–18). Subgroup analysis showed that the detection of LncRNAs expression in plasma substantially improved the diagnostic accuracy. Likewise, meta-regression analysis indicated that the detection method and sample size were the main source of heterogeneity. All these results suggested a relatively good reference value of LncRNAs as auxiliary biomarkers for CVDs, and should be considered in cases where the diagnosis is uncertain. Population-based prospective cohort studies are warranted to confirm our findings. Portland Press Ltd. 2018-12-21 /pmc/articles/PMC6435511/ /pubmed/30361292 http://dx.doi.org/10.1042/BSR20181610 Text en © 2018 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Luo, Fei Wang, Tao Zeng, Lini Zhu, Shanshan Cao, Wenjun Wu, Wei Wu, Hongfu Zou, Tangbin Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title | Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title_full | Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title_fullStr | Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title_full_unstemmed | Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title_short | Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis |
title_sort | diagnostic potential of circulating lncrnas in human cardiovascular disease: a meta-analysis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435511/ https://www.ncbi.nlm.nih.gov/pubmed/30361292 http://dx.doi.org/10.1042/BSR20181610 |
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